Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
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33,504 | Adaptive Representations for Tracking Breaking News on Twitter | cs.IR | Twitter is often the most up-to-date source for finding and tracking breaking
news stories. Therefore, there is considerable interest in developing filters
for tweet streams in order to track and summarize stories. This is a
non-trivial text analytics task as tweets are short, and standard retrieval
methods often fail ... | computer science |
33,505 | Evolutionary Algorithm for Drug Discovery Interim Design Report | cs.NE | A software program which aims to provide an exploration capability over the
Search Space of potential drug molecules. The program explores the search space
by generating random molecules, determining their fitness and then breeding a
new generation from the fittest individuals. The search space, in theory any
combinati... | computer science |
33,506 | The quasispecies regime for the simple genetic algorithm with ranking
selection | math.PR | We study the simple genetic algorithm with a ranking selection mechanism
(linear ranking or tournament). We denote by $\ell$ the length of the
chromosomes, by $m$ the population size, by $p_C$ the crossover probability and
by $p_M$ the mutation probability. We introduce a parameter $\sigma$, called
the selection drift,... | computer science |
33,507 | Arguments for Nested Patterns in Neural Ensembles | cs.NE | This paper describes a relatively simple way of allowing a brain model to
self-organise its concept patterns through nested structures. Time is a key
element and a simulator would be able to show how patterns may form and then
fire in sequence, as part of a search or thought process. It uses a very simple
equation to s... | computer science |
33,508 | How Crossover Speeds Up Building-Block Assembly in Genetic Algorithms | cs.NE | We re-investigate a fundamental question: how effective is crossover in
Genetic Algorithms in combining building blocks of good solutions? Although
this has been discussed controversially for decades, we are still lacking a
rigorous and intuitive answer. We provide such answers for royal road functions
and OneMax, wher... | computer science |
33,509 | Bio-Inspired Computation: Success and Challenges of IJBIC | math.OC | It is now five years since the launch of the International Journal of
Bio-Inspired Computation (IJBIC). At the same time, significant new progress
has been made in the area of bio-inspired computation. This review paper
summarizes the success and achievements of IJBIC in the past five years, and
also highlights the cha... | computer science |
33,510 | Classification of Diabetes Mellitus using Modified Particle Swarm
Optimization and Least Squares Support Vector Machine | cs.CE | Diabetes Mellitus is a major health problem all over the world. Many
classification algorithms have been applied for its diagnoses and treatment. In
this paper, a hybrid algorithm of Modified-Particle Swarm Optimization and
Least Squares- Support Vector Machine is proposed for the classification of
type II DM patients.... | computer science |
33,511 | Spatial Neural Networks and their Functional Samples: Similarities and
Differences | cs.NE | Models of neural networks have proven their utility in the development of
learning algorithms in computer science and in the theoretical study of brain
dynamics in computational neuroscience. We propose in this paper a spatial
neural network model to analyze the important class of functional networks,
which are commonl... | computer science |
33,512 | A Network Intrusions Detection System based on a Quantum Bio Inspired
Algorithm | cs.NE | Network intrusion detection systems (NIDSs) have a role of identifying
malicious activities by monitoring the behavior of networks. Due to the
currently high volume of networks trafic in addition to the increased number of
attacks and their dynamic properties, NIDSs have the challenge of improving
their classification ... | computer science |
33,513 | Leveraging Evolutionary Search to Discover Self-Adaptive and
Self-Organizing Cellular Automata | cs.NE | Building self-adaptive and self-organizing (SASO) systems is a challenging
problem, in part because SASO principles are not yet well understood and few
platforms exist for exploring them. Cellular automata (CA) are a well-studied
approach to exploring the principles underlying self-organization. A CA
comprises a lattic... | computer science |
33,514 | A Multi-parent Memetic Algorithm for the Linear Ordering Problem | cs.NE | In this paper, we present a multi-parent memetic algorithm (denoted by MPM)
for solving the classic Linear Ordering Problem (LOP). The MPM algorithm
integrates in particular a multi-parent recombination operator for generating
offspring solutions and a distance-and-quality based criterion for pool
updating. Our MPM alg... | computer science |
33,515 | An Effective Evolutionary Clustering Algorithm: Hepatitis C Case Study | cs.NE | Clustering analysis plays an important role in scientific research and
commercial application. K-means algorithm is a widely used partition method in
clustering. However, it is known that the K-means algorithm may get stuck at
suboptimal solutions, depending on the choice of the initial cluster centers.
In this article... | computer science |
33,516 | Traversing News with Ant Colony Optimisation and Negative Pheromones | cs.IR | The past decade has seen the rapid development of the online newsroom. News
published online are the main outlet of news surpassing traditional printed
newspapers. This poses challenges to the production and to the consumption of
those news. With those many sources of information available it is important to
find ways ... | computer science |
33,517 | Four Classes of Morphogenetic Collective Systems | nlin.AO | We studied the roles of morphogenetic principles---heterogeneity of
components, dynamic differentiation/re-differentiation of components, and local
information sharing among components---in the self-organization of
morphogenetic collective systems. By incrementally introducing these principles
to collectives, we define... | computer science |
33,518 | A Multi-Stage Supply Chain Network Optimization Using Genetic Algorithms | math.OC | In today's global business market place, individual firms no longer compete
as independent entities with unique brand names but as integral part of supply
chain links. Key to success of any business is satisfying customer's demands on
time which may result in cost reductions and increase in service level. In
supply cha... | computer science |
33,519 | Racing to Learn: Statistical Inference and Learning in a Single Spiking
Neuron with Adaptive Kernels | cs.NE | This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN), a
simple spiking neuron model that performs statistical inference and
unsupervised learning of spatiotemporal spike patterns. SKAN is the first
proposed neuron model to investigate the effects of dynamic synapto-dendritic
kernels and demonstrate ... | computer science |
33,520 | Genetic Programming for Smart Phone Personalisation | cs.NE | Personalisation in smart phones requires adaptability to dynamic context
based on user mobility, application usage and sensor inputs. Current
personalisation approaches, which rely on static logic that is developed a
priori, do not provide sufficient adaptability to dynamic and unexpected
context. This paper proposes g... | computer science |
33,521 | Cortical Processing with Thermodynamic-RAM | cs.NE | AHaH computing forms a theoretical framework from which a
biologically-inspired type of computing architecture can be built where, unlike
von Neumann systems, memory and processor are physically combined. In this
paper we report on an incremental step beyond the theoretical framework of AHaH
computing toward the develo... | computer science |
33,522 | Analysis of a chaotic spiking neural model: The NDS neuron | cs.NE | Further analysis and experimentation is carried out in this paper for a
chaotic dynamic model, viz. the Nonlinear Dynamic State neuron (NDS). The
analysis and experimentations are performed to further understand the
underlying dynamics of the model and enhance it as well. Chaos provides many
interesting properties that... | computer science |
33,523 | Brain: Biological noise-based logic | cs.NE | Neural spikes in the brain form stochastic sequences, i.e., belong to the
class of pulse noises. This stochasticity is a counterintuitive feature because
extracting information - such as the commonly supposed neural information of
mean spike frequency - requires long times for reasonably low error
probability. The myst... | computer science |
33,524 | Can Artificial Neural Networks be Applied in Seismic Predicition?
Preliminary Analysis Applying Radial Topology. Case: Mexico | cs.NE | Tectonic earthquakes of high magnitude can cause considerable losses in terms
of human lives, economic and infrastructure, among others. According to an
evaluation published by the U.S. Geological Survey, 30 is the number of
earthquakes which have greatly impacted Mexico from the end of the XIX century
to this one. Bas... | computer science |
33,525 | On Optimal Decision-Making in Ant Colonies | cs.DC | Colonies of ants can collectively choose the best of several nests, even when
many of the active ants who organize the move visit only one site.
Understanding such a behavior can help us design efficient distributed decision
making algorithms. Marshall et al. propose a model for house-hunting in
colonies of ant Temnoth... | computer science |
33,526 | Enhanced Estimation of Autoregressive Wind Power Prediction Model Using
Constriction Factor Particle Swarm Optimization | cs.CE | Accurate forecasting is important for cost-effective and efficient monitoring
and control of the renewable energy based power generation. Wind based power is
one of the most difficult energy to predict accurately, due to the widely
varying and unpredictable nature of wind energy. Although Autoregressive (AR)
techniques... | computer science |
33,527 | Swarm Intelligence Based Multi-phase OPF For Peak Power Loss Reduction
In A Smart Grid | cs.CE | Recently there has been increasing interest in improving smart grids
efficiency using computational intelligence. A key challenge in future smart
grid is designing Optimal Power Flow tool to solve important planning problems
including optimal DG capacities. Although, a number of OPF tools exists for
balanced networks t... | computer science |
33,528 | Bat Algorithm is Better Than Intermittent Search Strategy | math.OC | The efficiency of any metaheuristic algorithm largely depends on the way of
balancing local intensive exploitation and global diverse exploration. Studies
show that bat algorithm can provide a good balance between these two key
components with superior efficiency. In this paper, we first review some
commonly used metah... | computer science |
33,529 | A multiset model of multi-species evolution to solve big deceptive
problems | cs.NE | This chapter presents SMuGA, an integration of symbiogenesis with the
Multiset Genetic Algorithm (MuGA). The symbiogenetic approach used here is
based on the host-parasite model with the novelty of varying the length of
parasites along the evolutionary process. Additionally, it models
collaborations between multiple pa... | computer science |
33,530 | Artificial neural networks in calibration of nonlinear mechanical models | cs.NE | Rapid development in numerical modelling of materials and the complexity of
new models increases quickly together with their computational demands. Despite
the growing performance of modern computers and clusters, calibration of such
models from noisy experimental data remains a nontrivial and often
computationally exh... | computer science |
33,531 | Graph Partitioning for Independent Sets | cs.DS | Computing maximum independent sets in graphs is an important problem in
computer science. In this paper, we develop an evolutionary algorithm to tackle
the problem. The core innovations of the algorithm are very natural combine
operations based on graph partitioning and local search algorithms. More
precisely, we emplo... | computer science |
33,532 | A Distributional Representation Model For Collaborative Filtering | cs.IR | In this paper, we propose a very concise deep learning approach for
collaborative filtering that jointly models distributional representation for
users and items. The proposed framework obtains better performance when
compared against current state-of-art algorithms and that made the
distributional representation model... | computer science |
33,533 | Measuring and Understanding Sensory Representations within Deep Networks
Using a Numerical Optimization Framework | cs.NE | A central challenge in sensory neuroscience is describing how the activity of
populations of neurons can represent useful features of the external
environment. However, while neurophysiologists have long been able to record
the responses of neurons in awake, behaving animals, it is another matter
entirely to say what a... | computer science |
33,534 | Reinforcement Learning in a Neurally Controlled Robot Using Dopamine
Modulated STDP | cs.NE | Recent work has shown that dopamine-modulated STDP can solve many of the
issues associated with reinforcement learning, such as the distal reward
problem. Spiking neural networks provide a useful technique in implementing
reinforcement learning in an embodied context as they can deal with continuous
parameter spaces an... | computer science |
33,535 | FPGA Implementation of the CAR Model of the Cochlea | cs.NE | The front end of the human auditory system, the cochlea, converts sound
signals from the outside world into neural impulses transmitted along the
auditory pathway for further processing. The cochlea senses and separates sound
in a nonlinear active fashion, exhibiting remarkable sensitivity and frequency
discrimination.... | computer science |
33,536 | Convolutional LSTM Networks for Subcellular Localization of Proteins | cs.NE | Machine learning is widely used to analyze biological sequence data.
Non-sequential models such as SVMs or feed-forward neural networks are often
used although they have no natural way of handling sequences of varying length.
Recurrent neural networks such as the long short term memory (LSTM) model on
the other hand ar... | computer science |
33,537 | Sensitivity Analysis for additive STDP rule | cs.NE | Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic learning
rule. The basis of STDP has strong experimental evidences and it depends on
precise input and output spike timings. In this paper we show that under
biologically plausible spiking regime, slight variability in the spike timing
leads to drastic... | computer science |
33,538 | A Multi-signal Variant for the GPU-based Parallelization of Growing
Self-Organizing Networks | cs.DC | Among the many possible approaches for the parallelization of self-organizing
networks, and in particular of growing self-organizing networks, perhaps the
most common one is producing an optimized, parallel implementation of the
standard sequential algorithms reported in the literature. In this paper we
explore an alte... | computer science |
33,539 | Enabling Bio-Plausible Multi-level STDP using CMOS Neurons with
Dendrites and Bistable RRAMs | cs.ET | Large-scale integration of emerging nanoscale non-volatile memory devices,
e.g. resistive random-access memory (RRAM), can enable a new generation of
neuromorphic computers that can solve a wide range of machine learning
problems. Such hybrid CMOS-RRAM neuromorphic architectures will result in
several orders of magnitu... | computer science |
33,540 | BrainFrame: A node-level heterogeneous accelerator platform for neuron
simulations | cs.NE | Objective: The advent of High-Performance Computing (HPC) in recent years has
led to its increasing use in brain study through computational models. The
scale and complexity of such models are constantly increasing, leading to
challenging computational requirements. Even though modern HPC platforms can
often deal with ... | computer science |
33,541 | Geometric Decomposition of Feed Forward Neural Networks | cs.NE | There have been several attempts to mathematically understand neural networks
and many more from biological and computational perspectives. The field has
exploded in the last decade, yet neural networks are still treated much like a
black box. In this work we describe a structure that is inherent to a feed
forward neur... | computer science |
33,542 | Memcomputing Numerical Inversion with Self-Organizing Logic Gates | cs.ET | We propose to use Digital Memcomputing Machines (DMMs), implemented with
self-organizing logic gates (SOLGs), to solve the problem of numerical
inversion. Starting from fixed-point scalar inversion we describe the
generalization to solving linear systems and matrix inversion. This method,
when realized in hardware, wil... | computer science |
33,543 | A new cut-based genetic algorithm for graph partitioning applied to cell
formation | cs.DM | Cell formation is a critical step in the design of cellular manufacturing
systems. Recently, it was tackled using a cut-based-graph-partitioning model.
This model meets real-life production systems requirements as it uses the
actual amount of product flows, it looks for the suitable number of cells, and
it takes into a... | computer science |
33,544 | Improving Human-Machine Cooperative Visual Search With Soft Highlighting | cs.HC | Advances in machine learning have produced systems that attain human-level
performance on certain visual tasks, e.g., object identification. Nonetheless,
other tasks requiring visual expertise are unlikely to be entrusted to machines
for some time, e.g., satellite and medical imagery analysis. We describe a
human-machi... | computer science |
33,545 | Optimization of Test Case Generation using Genetic Algorithm (GA) | cs.SE | Testing provides means pertaining to assuring software performance. The total
aim of software industry is actually to make a certain start associated with
high quality software for the end user. However, associated with software
testing has quite a few underlying concerns, which are very important and need
to pay atten... | computer science |
33,546 | Stochastic single flux quantum neuromorphic computing using magnetically
tunable Josephson junctions | cs.NE | Single flux quantum (SFQ) circuits form a natural neuromorphic technology
with SFQ pulses and superconducting transmission lines simulating action
potentials and axons, respectively. Here we present a new component, magnetic
Josephson junctions, that have a tunablility and re-configurability that was
lacking from previ... | computer science |
33,547 | Novel algorithm to calculate hypervolume indicator of Pareto
approximation set | cs.CG | Hypervolume indicator is a commonly accepted quality measure for comparing
Pareto approximation set generated by multi-objective optimizers. The best
known algorithm to calculate it for $n$ points in $d$-dimensional space has a
run time of $O(n^{d/2})$ with special data structures. This paper presents a
recursive, vert... | computer science |
33,548 | A Doubly Distributed Genetic Algorithm for Network Coding | cs.NE | We present a genetic algorithm which is distributed in two novel ways: along
genotype and temporal axes. Our algorithm first distributes, for every member
of the population, a subset of the genotype to each network node, rather than a
subset of the population to each. This genotype distribution is shown to offer
a sign... | computer science |
33,549 | Traitement Des Donnees Manquantes Au Moyen De L'Algorithme De Kohonen | stat.AP | Nous montrons comment il est possible d'utiliser l'algorithme d'auto
organisation de Kohonen pour traiter des donn\'ees avec valeurs manquantes et
estimer ces derni\`eres. Apr\`es un rappel m\'ethodologique, nous illustrons
notre propos \`a partir de trois applications \`a des donn\'ees r\'eelles.
-----
We show how... | computer science |
33,550 | 2D Path Solutions from a Single Layer Excitable CNN Model | cs.RO | An easily implementable path solution algorithm for 2D spatial problems,
based on excitable/programmable characteristics of a specific cellular
nonlinear network (CNN) model is presented and numerically investigated. The
network is a single layer bioinspired model which was also implemented in CMOS
technology. It exhib... | computer science |
33,551 | An Estimation of Distribution Algorithm with Intelligent Local Search
for Rule-based Nurse Rostering | cs.NE | This paper proposes a new memetic evolutionary algorithm to achieve explicit
learning in rule-based nurse rostering, which involves applying a set of
heuristic rules for each nurse's assignment. The main framework of the
algorithm is an estimation of distribution algorithm, in which an ant-miner
methodology improves th... | computer science |
33,552 | Particle Swarm Optimization Based Diophantine Equation Solver | cs.NE | The paper introduces particle swarm optimization as a viable strategy to find
numerical solution of Diophantine equation, for which there exists no general
method of finding solutions. The proposed methodology uses a population of
integer particles. The candidate solutions in the feasible space are optimized
to have be... | computer science |
33,553 | Simple heuristics for the assembly line worker assignment and balancing
problem | cs.DS | We propose simple heuristics for the assembly line worker assignment and
balancing problem. This problem typically occurs in assembly lines in sheltered
work centers for the disabled. Different from the classical simple assembly
line balancing problem, the task execution times vary according to the assigned
worker. We ... | computer science |
33,554 | Fuzzy-based Navigation and Control of a Non-Holonomic Mobile Robot | cs.NE | In recent years, the use of non-analytical methods of computing such as fuzzy
logic, evolutionary computation, and neural networks has demonstrated the
utility and potential of these paradigms for intelligent control of mobile
robot navigation. In this paper, a theoretical model of a fuzzy based
controller for an auton... | computer science |
33,555 | A New Mechanism for Maintaining Diversity of Pareto Archive in
Multiobjective Optimization | math.OC | The article introduces a new mechanism for selecting individuals to a Pareto
archive. It was combined with a micro-genetic algorithm and tested on several
problems. The ability of this approach to produce individuals uniformly
distributed along the Pareto set without negative impact on convergence is
demonstrated on pr... | computer science |
33,556 | The Transfer of Evolved Artificial Immune System Behaviours between
Small and Large Scale Robotic Platforms | cs.NE | This paper demonstrates that a set of behaviours evolved in simulation on a
miniature robot (epuck) can be transferred to a much larger scale platform (a
virtual Pioneer P3-DX) that also differs in shape, sensor type, sensor
configuration and programming interface. The chosen architecture uses a
reinforcement learning-... | computer science |
33,557 | Discover & eXplore Neural Network (DXNN) Platform, a Modular TWEANN | cs.NE | In this paper I present a novel type of Topology and Weight Evolving
Artificial Neural Network (TWEANN) system called Modular Discover & eXplore
Neural Network (DXNN). Modular DXNN utilizes a hierarchical/modular topology
which allows for highly scalable and dynamically granular systems to evolve.
Among the novel featu... | computer science |
33,558 | Nonlinear Quality of Life Index | cs.NE | We present details of the analysis of the nonlinear quality of life index for
171 countries. This index is based on four indicators: GDP per capita by
Purchasing Power Parities, Life expectancy at birth, Infant mortality rate, and
Tuberculosis incidence. We analyze the structure of the data in order to find
the optimal... | computer science |
33,559 | Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher | cs.CR | Problem statement: This paper examines Artificial Spiking Neural Network
(ASNN) which inter-connects group of artificial neurons that uses a
mathematical model with the aid of block cipher. The aim of undertaken this
research is to come up with a block cipher where by the keys are randomly
generated by ASNN which can t... | computer science |
33,560 | Supervised Learning of Logical Operations in Layered Spiking Neural
Networks with Spike Train Encoding | cs.NE | Few algorithms for supervised training of spiking neural networks exist that
can deal with patterns of multiple spikes, and their computational properties
are largely unexplored. We demonstrate in a set of simulations that the ReSuMe
learning algorithm can be successfully applied to layered neural networks.
Input and o... | computer science |
33,561 | A Novel Approach for Password Authentication Using Bidirectional
Associative Memory | cs.CR | Password authentication is a very important system security procedure to gain
access to user resources. In the Traditional password authentication methods a
server has check the authenticity of the users. In our proposed method users
can freely select their passwords from a predefined character set. They can
also use a... | computer science |
33,562 | Hybrid Heuristic-Based Artificial Immune System for Task Scheduling | cs.DC | Task scheduling problem in heterogeneous systems is the process of allocating
tasks of an application to heterogeneous processors interconnected by
high-speed networks, so that minimizing the finishing time of application as
much as possible. Tasks are processing units of application and have
precedenceconstrained, com... | computer science |
33,563 | Passive and Driven Trends in the Evolution of Complexity | cs.NE | The nature and source of evolutionary trends in complexity is difficult to
assess from the fossil record, and the driven vs. passive nature of such trends
has been debated for decades. There are also questions about how effectively
artificial life software can evolve increasing levels of complexity. We extend
our previ... | computer science |
33,564 | The application of a perceptron model to classify an individual's
response to a proposed loading dose regimen of Warfarin | stat.AP | The dose regimen of Warfarin is separated into two phases. Firstly a loading
dose is given, which is designed to bring the International Normalisation Ratio
(INR) to within therapeutic range. Then a stable maintenance dose is given to
maintain the INR within therapeutic range. In the United Kingdom (UK) the
loading dos... | computer science |
33,565 | A Brief Review of Data Mining Application Involving Protein Sequence
Classification | cs.DB | Data mining techniques have been used by researchers for analyzing protein
sequences. In protein analysis, especially in protein sequence classification,
selection of feature is most important. Popular protein sequence classification
techniques involve extraction of specific features from the sequences.
Researchers app... | computer science |
33,566 | Scaling Genetic Programming for Source Code Modification | cs.NE | In Search Based Software Engineering, Genetic Programming has been used for
bug fixing, performance improvement and parallelisation of programs through the
modification of source code. Where an evolutionary computation algorithm, such
as Genetic Programming, is to be applied to similar code manipulation tasks,
the comp... | computer science |
33,567 | Nature-Inspired Mateheuristic Algorithms: Success and New Challenges | math.OC | Despite the increasing popularity of metaheuristics, many crucially important
questions remain unanswered. There are two important issues: theoretical
framework and the gap between theory and applications. At the moment, the
practice of metaheuristics is like heuristic itself, to some extent, by trial
and error. Mathem... | computer science |
33,568 | Using Differential Evolution for the Graph Coloring | math.CO | Differential evolution was developed for reliable and versatile function
optimization. It has also become interesting for other domains because of its
ease to use. In this paper, we posed the question of whether differential
evolution can also be used by solving of the combinatorial optimization
problems, and in partic... | computer science |
33,569 | Clustering of Complex Networks and Community Detection Using Group
Search Optimization | cs.NE | Group Search Optimizer(GSO) is one of the best algorithms, is very new in the
field of Evolutionary Computing. It is very robust and efficient algorithm,
which is inspired by animal searching behaviour. The paper describes an
application of GSO to clustering of networks. We have tested GSO against five
standard benchma... | computer science |
33,570 | A New Approach to the Solution of Economic Dispatch Using Particle Swarm
Optimization with Simulated Annealing | cs.CE | A new approach to the solution of Economic Dispatch using Particle Swarm
Optimization is presented. It is the progression of allocating production
amongst the dedicated units such that the restriction forced are fulfilled and
the power needs are reduced. More just, the soft computing method has received
supplementary c... | computer science |
33,571 | Optimal Recombination in Genetic Algorithms | cs.NE | This paper surveys results on complexity of the optimal recombination problem
(ORP), which consists in finding the best possible offspring as a result of a
recombination operator in a genetic algorithm, given two parent solutions. We
consider efficient reductions of the ORPs, allowing to establish polynomial
solvabilit... | computer science |
33,572 | A New Optimization Approach Based on Rotational Mutation and Crossover
Operator | cs.NE | Evaluating a global optimal point in many global optimization problems in
large space is required to more calculations. In this paper, there is presented
a new approach for the continuous functions optimization with rotational
mutation and crossover operator. This proposed method (RMC) starts from the
point which has b... | computer science |
33,573 | New Optimization Approach Using Clustering-Based Parallel Genetic
Algorithm | cs.NE | In many global Optimization Problems, it is required to evaluate a global
point (min or max) in large space that calculation effort is very high. In this
paper is presented new approach for optimization problem with subdivision
labeling method (SLM) but in this method for higher dimensional has high
calculation effort.... | computer science |
33,574 | Sub-Dividing Genetic Method for Optimization Problems | cs.NE | Nowadays, optimization problem have more application in all major but they
have problem in computation. Computation global point in continuous functions
have high calculation and this became clearer in large space .In this paper, we
proposed Sub- Dividing Genetic Method(SGM) that have less computation than
other method... | computer science |
33,575 | Rotational Mutation Genetic Algorithm on optimization Problems | cs.NE | Optimization problem, nowadays, have more application in all major but they
have problem in computation. Calculation of the optimum point in the spaces
with the above dimensions is very time consuming. In this paper, there is
presented a new approach for the optimization of continuous functions with
rotational mutation... | computer science |
33,576 | A New Approach for Finding the Global Optimal Point Using Subdividing
Labeling Method (SLM) | cs.NE | In most global optimization problems, finding global optimal point inthe
multidimensional and great search space needs high computations. In this paper,
we present a new approach to find global optimal point with the low computation
and few steps using subdividing labeling method (SLM) which can also be used in
the mul... | computer science |
33,577 | Sub- Diving Labeling Method for Optimization Problem by Genetic
Algorithm | cs.NE | In many global Optimization Problems, it is required to evaluate a global
point (min or max) in large space that calculation effort is very high. In this
paper is presented new approach for optimization problem with subdivision
labeling method (SLM) but in this method for higher dimensional has high
computational. SLM ... | computer science |
33,578 | Multi-horizon solar radiation forecasting for Mediterranean locations
using time series models | cs.NE | Considering the grid manager's point of view, needs in terms of prediction of
intermittent energy like the photovoltaic resource can be distinguished
according to the considered horizon: following days (d+1, d+2 and d+3), next
day by hourly step (h+24), next hour (h+1) and next few minutes (m+5 e.g.).
Through this work... | computer science |
33,579 | Storing non-uniformly distributed messages in networks of neural cliques | cs.NE | Associative memories are data structures that allow retrieval of stored
messages from part of their content. They thus behave similarly to human brain
that is capable for instance of retrieving the end of a song given its
beginning. Among different families of associative memories, sparse ones are
known to provide the ... | computer science |
33,580 | Finite State Machine Synthesis for Evolutionary Hardware | cs.NE | This article considers application of genetic algorithms for finite machine
synthesis. The resulting genetic finite state machines synthesis algorithm
allows for creation of machines with less number of states and within shorter
time. This makes it possible to use hardware-oriented genetic finite machines
synthesis alg... | computer science |
33,581 | Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network
Classifier | cs.NE | In this paper, a wavelet-based neural network (WNN) classifier for
recognizing EEG signals is implemented and tested under three sets EEG signals
(healthy subjects, patients with epilepsy and patients with epileptic syndrome
during the seizure). First, the Discrete Wavelet Transform (DWT) with the
Multi-Resolution Anal... | computer science |
33,582 | EVOC: A Computer Model of the Evolution of Culture | cs.MA | EVOC is a computer model of the EVOlution of Culture. It consists of neural
network based agents that invent ideas for actions, and imitate neighbors'
actions. EVOC replicates using a different fitness function the results
obtained with an earlier model (MAV), including (1) an increase in mean fitness
of actions, and (... | computer science |
33,583 | Towards Application of the RBNK Model | cs.CE | The computational modeling of genetic regulatory networks is now common
place, either by fitting a system to experimental data or by exploring the
behaviour of abstract systems with the aim of identifying underlying
principles. This paper presents an approach to the latter, considering the
response to environmental cha... | computer science |
33,584 | Evolution of swarming behavior is shaped by how predators attack | cs.NE | Animal grouping behaviors have been widely studied due to their implications
for understanding social intelligence, collective cognition, and potential
applications in engineering, artificial intelligence, and robotics. An
important biological aspect of these studies is discerning which selection
pressures favor the ev... | computer science |
33,585 | Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems | cs.NE | Restricted Boltzmann Machines (RBMs) and Deep Belief Networks have been
demonstrated to perform efficiently in a variety of applications, such as
dimensionality reduction, feature learning, and classification. Their
implementation on neuromorphic hardware platforms emulating large-scale
networks of spiking neurons can ... | computer science |
33,586 | Delay Learning Architectures for Memory and Classification | cs.NE | We present a neuromorphic spiking neural network, the DELTRON, that can
remember and store patterns by changing the delays of every connection as
opposed to modifying the weights. The advantage of this architecture over
traditional weight based ones is simpler hardware implementation without
multipliers or digital-anal... | computer science |
33,587 | Mixing Energy Models in Genetic Algorithms for On-Lattice Protein
Structure Prediction | cs.CE | Protein structure prediction (PSP) is computationally a very challenging
problem. The challenge largely comes from the fact that the energy function
that needs to be minimised in order to obtain the native structure of a given
protein is not clearly known. A high resolution 20x20 energy model could better
capture the b... | computer science |
33,588 | The Optimization of Running Queries in Relational Databases Using
ANT-Colony Algorithm | cs.DB | The issue of optimizing queries is a cost-sensitive process and with respect
to the number of associated tables in a query, its number of permutations grows
exponentially. On one hand, in comparison with other operators in relational
database, join operator is the most difficult and complicated one in terms of
optimiza... | computer science |
33,589 | Automated and Weighted Self-Organizing Time Maps | cs.NE | This paper proposes schemes for automated and weighted Self-Organizing Time
Maps (SOTMs). The SOTM provides means for a visual approach to evolutionary
clustering, which aims at producing a sequence of clustering solutions. This
task we denote as visual dynamic clustering. The implication of an automated
SOTM is not on... | computer science |
33,590 | Finding a Maximum Clique using Ant Colony Optimization and Particle
Swarm Optimization in Social Networks | cs.SI | Interaction between users in online social networks plays a key role in
social network analysis. One on important types of social group is full
connected relation between some users, which known as clique structure.
Therefore finding a maximum clique is essential for some analysis. In this
paper, we proposed a new meth... | computer science |
33,591 | A Framework for Genetic Algorithms Based on Hadoop | cs.NE | Genetic Algorithms (GAs) are powerful metaheuristic techniques mostly used in
many real-world applications. The sequential execution of GAs requires
considerable computational power both in time and resources. Nevertheless, GAs
are naturally parallel and accessing a parallel platform such as Cloud is easy
and cheap. Ap... | computer science |
33,592 | A Unified Markov Chain Approach to Analysing Randomised Search
Heuristics | math.OC | The convergence, convergence rate and expected hitting time play fundamental
roles in the analysis of randomised search heuristics. This paper presents a
unified Markov chain approach to studying them. Using the approach, the
sufficient and necessary conditions of convergence in distribution are
established. Then the a... | computer science |
33,593 | Performance Analysis Of Neural Network Models For Oxazolines And
Oxazoles Derivatives Descriptor Dataset | cs.CE | Neural networks have been used successfully to a broad range of areas such as
business, data mining, drug discovery and biology. In medicine, neural networks
have been applied widely in medical diagnosis, detection and evaluation of new
drugs and treatment cost estimation. In addition, neural networks have begin
practi... | computer science |
33,594 | Evolutionary Design of Numerical Methods: Generating Finite Difference
and Integration Schemes by Differential Evolution | cs.NE | Classical and new numerical schemes are generated using evolutionary
computing. Differential Evolution is used to find the coefficients of finite
difference approximations of function derivatives, and of single and multi-step
integration methods. The coefficients are reverse engineered based on samples
from a target fu... | computer science |
33,595 | Multi-objective Flower Algorithm for Optimization | cs.NE | Flower pollination algorithm is a new nature-inspired algorithm, based on the
characteristics of flowering plants. In this paper, we extend this flower
algorithm to solve multi-objective optimization problems in engineering. By
using the weighted sum method with random weights, we show that the proposed
multi-objective... | computer science |
33,596 | Computational Optimization, Modelling and Simulation: Recent Trends and
Challenges | cs.NE | Modelling, simulation and optimization form an integrated part of modern
design practice in engineering and industry. Tremendous progress has been
observed for all three components over the last few decades. However, many
challenging issues remain unresolved, and the current trends tend to use
nature-inspired algorithm... | computer science |
33,597 | Markov Chain Analysis of Evolution Strategies on a Linear Constraint
Optimization Problem | cs.NE | This paper analyses a $(1,\lambda)$-Evolution Strategy, a randomised
comparison-based adaptive search algorithm, on a simple constraint optimisation
problem. The algorithm uses resampling to handle the constraint and optimizes a
linear function with a linear constraint. Two cases are investigated: first the
case where ... | computer science |
33,598 | A Dynamic Simulation-Optimization Model for Adaptive Management of Urban
Water Distribution System Contamination Threats | cs.OH | Urban water distribution systems hold a critical and strategic position in
preserving public health and industrial growth. Despite the ubiquity of these
urban systems, aging infrastructure, and increased risk of terrorism, decision
support models for a timely and adaptive contamination emergency response still
remain a... | computer science |
33,599 | Novelty Search in Competitive Coevolution | cs.NE | One of the main motivations for the use of competitive coevolution systems is
their ability to capitalise on arms races between competing species to evolve
increasingly sophisticated solutions. Such arms races can, however, be hard to
sustain, and it has been shown that the competing species often converge
prematurely ... | computer science |
33,600 | Continuous On-line Evolution of Agent Behaviours with Cartesian Genetic
Programming | cs.NE | Evolutionary Computation has been successfully used to synthesise controllers
for embodied agents and multi-agent systems in general. Notwithstanding this,
continuous on-line adaptation by the means of evolutionary algorithms is still
under-explored, especially outside the evolutionary robotics domain. In this
paper, w... | computer science |
33,601 | Higher-Order Quantum-Inspired Genetic Algorithms | cs.NE | This paper presents a theory and an empirical evaluation of Higher-Order
Quantum-Inspired Genetic Algorithms. Fundamental notions of the theory have
been introduced, and a novel Order-2 Quantum-Inspired Genetic Algorithm (QIGA2)
has been presented. Contrary to all QIGA algorithms which represent quantum
genes as indepe... | computer science |
33,602 | Downscaling near-surface atmospheric fields with multi-objective Genetic
Programming | cs.NE | The coupling of models for the different components of the
Soil-Vegetation-Atmosphere-System is required to investigate component
interactions and feedback processes. However, the component models for
atmosphere, land-surface and subsurface are usually operated at different
resolutions in space and time owing to the do... | computer science |
33,603 | A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis
of the simplified data encryption standard algorithm | cs.CR | In this paper we analyze the cryptanalysis of the simplified data encryption
standard algorithm using meta-heuristics and in particular genetic algorithms.
The classic fitness function when using such an algorithm is to compare n-gram
statistics of a the decrypted message with those of the target message. We show
that ... | computer science |
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