Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
33,403 | Degeneracy: a link between evolvability, robustness and complexity in
biological systems | nlin.AO | A full accounting of biological robustness remains elusive; both in terms of
the mechanisms by which robustness is achieved and the forces that have caused
robustness to grow over evolutionary time. Although its importance to topics
such as ecosystem services and resilience is well recognized, the broader
relationship ... | computer science |
33,404 | Multiprocessor Scheduling For Tasks With Priority Using GA | cs.NE | Multiprocessors have emerged as a powerful computing means for running
realtime applications, especially where a uniprocessor system would not be
sufficient enough to execute all the tasks. The high performance and
reliability of multiprocessors have made them a powerful computing resource.
Such computing environment r... | computer science |
33,405 | Salience-Affected Neural Networks | cs.NE | We present a simple neural network model which combines a locally-connected
feedforward structure, as is traditionally used to model inter-neuron
connectivity, with a layer of undifferentiated connections which model the
diffuse projections from the human limbic system to the cortex. This new layer
makes it possible to... | computer science |
33,406 | Comparison of Genetic Algorithm and Simulated Annealing Technique for
Optimal Path Selection In Network Routing | cs.NE | This paper addresses the path selection problem from a known sender to the
receiver. The proposed work shows path selection using genetic algorithm(GA)and
simulated annealing (SA) approaches. In genetic algorithm approach, the multi
point crossover and mutation helps in determining the optimal path and also
alternate p... | computer science |
33,407 | Ant Colony Algorithm for the Weighted Item Layout Optimization Problem | cs.NE | This paper discusses the problem of placing weighted items in a circular
container in two-dimensional space. This problem is of great practical
significance in various mechanical engineering domains, such as the design of
communication satellites. Two constructive heuristics are proposed, one for
packing circular items... | computer science |
33,408 | Wireless Sensor Network based Future of Telecom Applications | cs.HC | A system and method for enabling human beings to communicate by way of their
monitored brain activity. The brain activity of an individual is monitored and
transmitted to a remote location (e.g. by satellite). At the remote location,
the monitored brain activity is compared with pre-recorded normalized brain
activity c... | computer science |
33,409 | Synchronization and Redundancy: Implications for Robustness of Neural
Learning and Decision Making | cs.NE | Learning and decision making in the brain are key processes critical to
survival, and yet are processes implemented by non-ideal biological building
blocks which can impose significant error. We explore quantitatively how the
brain might cope with this inherent source of error by taking advantage of two
ubiquitous mech... | computer science |
33,410 | Fractionally Predictive Spiking Neurons | cs.NE | Recent experimental work has suggested that the neural firing rate can be
interpreted as a fractional derivative, at least when signal variation induces
neural adaptation. Here, we show that the actual neural spike-train itself can
be considered as the fractional derivative, provided that the neural signal is
approxima... | computer science |
33,411 | Boolean Networks Design by Genetic Algorithms | cs.NE | We present and discuss the results of an experimental analysis in the design
of Boolean networks by means of genetic algorithms. A population of networks is
evolved with the aim of finding a network such that the attractor it reaches is
of required length $l$. In general, any target can be defined, provided that it
is ... | computer science |
33,412 | A network of spiking neurons for computing sparse representations in an
energy efficient way | cs.NE | Computing sparse redundant representations is an important problem both in
applied mathematics and neuroscience. In many applications, this problem must
be solved in an energy efficient way. Here, we propose a hybrid distributed
algorithm (HDA), which solves this problem on a network of simple nodes
communicating via l... | computer science |
33,413 | A Flexible Mixed Integer Programming framework for Nurse Scheduling | cs.DS | In this paper, a nurse-scheduling model is developed using mixed integer
programming model. It is deployed to a general care ward to replace and
automate the current manual approach for scheduling. The developed model
differs from other similar studies in that it optimizes both hospitals
requirement as well as nurse pr... | computer science |
33,414 | Online computation of sparse representations of time varying stimuli
using a biologically motivated neural network | cs.NE | Natural stimuli are highly redundant, possessing significant spatial and
temporal correlations. While sparse coding has been proposed as an efficient
strategy employed by neural systems to encode sensory stimuli, the underlying
mechanisms are still not well understood. Most previous approaches model the
neural dynamics... | computer science |
33,415 | A Biologically Realistic Model of Saccadic Eye Control with
Probabilistic Population Codes | cs.NE | The posterior parietal cortex is believed to direct eye movements, especially
in regards to target tracking tasks, and a number of debates exist over the
precise nature of the computations performed by the parietal cortex, with each
side supported by different sets of biological evidence. In this paper I will
present m... | computer science |
33,416 | Modeling with Copulas and Vines in Estimation of Distribution Algorithms | cs.NE | The aim of this work is studying the use of copulas and vines in the
optimization with Estimation of Distribution Algorithms (EDAs). Two EDAs are
built around the multivariate product and normal copulas, and other two are
based on pair-copula decomposition of vine models. Empirically we study the
effect of both margina... | computer science |
33,417 | Interplay: Dispersed Activation in Neural Networks | cs.NE | This paper presents a multi-point stimulation of a Hebbian neural network
with investigation of the interplay between the stimulus waves through the
neurons of the network. Equilibrium of the resulting memory is achieved for
recall of specific memory data at a rate faster than single point stimulus. The
interplay of th... | computer science |
33,418 | Black-Box Complexity: Breaking the $O(n \log n)$ Barrier of LeadingOnes | cs.DS | We show that the unrestricted black-box complexity of the $n$-dimensional
XOR- and permutation-invariant LeadingOnes function class is $O(n \log (n) /
\log \log n)$. This shows that the recent natural looking $O(n\log n)$ bound is
not tight.
The black-box optimization algorithm leading to this bound can be implemente... | computer science |
33,419 | ACO Implementation for Sequence Alignment with Genetic Algorithms | cs.CE | In this paper, we implement Ant Colony Optimization (ACO) for sequence
alignment. ACO is a meta-heuristic recently developed for nearest neighbor
approximations in large, NP-hard search spaces. Here we use a genetic algorithm
approach to evolve the best parameters for an ACO designed to align two
sequences. We then use... | computer science |
33,420 | Ant Colony Optimization for Inferring Key Gene Interactions | cs.NE | Inferring gene interaction network from gene expression data is an important
task in systems biology research. The gene interaction network, especially key
interactions, plays an important role in identifying biomarkers for disease
that further helps in drug design. Ant colony optimization is an optimization
algorithm ... | computer science |
33,421 | WebAL-1: Workshop on Artificial Life and the Web 2014 Proceedings | cs.NE | Proceedings of WebAL-1: Workshop on Artificial Life and the Web 2014, held at
the 14th International Conference on the Synthesis and Simulation of Living
Systems (ALIFE 14), New York, NY, 31 July 2014. | computer science |
33,422 | A Hitchhiker's Guide to Search-Based Software Engineering for Software
Product Lines | cs.SE | Search Based Software Engineering (SBSE) is an emerging discipline that
focuses on the application of search-based optimization techniques to software
engineering problems. The capacity of SBSE techniques to tackle problems
involving large search spaces make their application attractive for Software
Product Lines (SPLs... | computer science |
33,423 | Deep Neural Networks Rival the Representation of Primate IT Cortex for
Core Visual Object Recognition | cs.NE | The primate visual system achieves remarkable visual object recognition
performance even in brief presentations and under changes to object exemplar,
geometric transformations, and background variation (a.k.a. core visual object
recognition). This remarkable performance is mediated by the representation
formed in infer... | computer science |
33,424 | Evolutionary Robotics on the Web with WebGL and Javascript | cs.NE | Web-based applications are highly accessible to users, providing rich,
interactive content while eliminating the need to install software locally.
However, evolutionary robotics (ER) has faced challenges in this domain as
web-based technologies have not been amenable to 3D physics simulations.
Traditionally, physics-ba... | computer science |
33,425 | A Quantitative Neural Coding Model of Sensory Memory | cs.NE | The coding mechanism of sensory memory on the neuron scale is one of the most
important questions in neuroscience. We have put forward a quantitative neural
network model, which is self organized, self similar, and self adaptive, just
like an ecosystem following Darwin theory. According to this model, neural
coding is ... | computer science |
33,426 | Intelligent Emergency Message Broadcasting in VANET Using PSO | cs.NI | The new type of Mobile Ad hoc Network which is called Vehicular Ad hoc
Networks (VANET) created a fertile environment for research. In this research,
a protocol Particle Swarm Optimization Contention Based Broadcast (PCBB) is
proposed, for fast andeffective dissemination of emergency messages within a
geographical area... | computer science |
33,428 | Lamarckism and mechanism synthesis: approaching constrained optimization
with ideas from biology | math.OC | Nonlinear constrained optimization problems are encountered in many
scientific fields. To utilize the huge calculation power of current computers,
many mathematic models are also rebuilt as optimization problems. Most of them
have constrained conditions which need to be handled. Borrowing biological
concepts, a study i... | computer science |
33,429 | Chaotic multi-objective optimization based design of fractional order
PIλDμ controller in AVR system | cs.SY | In this paper, a fractional order (FO) PI{\lambda}D\mu controller is designed
to take care of various contradictory objective functions for an Automatic
Voltage Regulator (AVR) system. An improved evolutionary Non-dominated Sorting
Genetic Algorithm II (NSGA II), which is augmented with a chaotic map for
greater effect... | computer science |
33,430 | An Evolutionary Approach to Drug-Design Using a Novel Neighbourhood
Based Genetic Algorithm | cs.NE | The present work provides a new approach to evolve ligand structures which
represent possible drug to be docked to the active site of the target protein.
The structure is represented as a tree where each non-empty node represents a
functional group. It is assumed that the active site configuration of the
target protein... | computer science |
33,431 | State Transition Algorithm | math.OC | In terms of the concepts of state and state transition, a new heuristic
random search algorithm named state transition algorithm is proposed. For
continuous function optimization problems, four special transformation
operators called rotation, translation, expansion and axesion are designed.
Adjusting measures of the t... | computer science |
33,432 | Parameterized Runtime Analyses of Evolutionary Algorithms for the
Euclidean Traveling Salesperson Problem | cs.NE | Parameterized runtime analysis seeks to understand the influence of problem
structure on algorithmic runtime. In this paper, we contribute to the
theoretical understanding of evolutionary algorithms and carry out a
parameterized analysis of evolutionary algorithms for the Euclidean traveling
salesperson problem (Euclid... | computer science |
33,433 | An experimental study of exhaustive solutions for the Mastermind puzzle | cs.NE | Mastermind is in essence a search problem in which a string of symbols that
is kept secret must be found by sequentially playing strings that use the same
alphabet, and using the responses that indicate how close are those other
strings to the secret one as hints. Although it is commercialized as a game, it
is a combin... | computer science |
33,434 | A Genetic Algorithm Approach for Solving a Flexible Job Shop Scheduling
Problem | math.OC | Flexible job shop scheduling has been noticed as an effective manufacturing
system to cope with rapid development in today's competitive environment.
Flexible job shop scheduling problem (FJSSP) is known as a NP-hard problem in
the field of optimization. Considering the dynamic state of the real world
makes this proble... | computer science |
33,435 | Preliminary Design of Debris Removal Missions by Means of Simplified
Models for Low-Thrust, Many-Revolution Transfers | math.OC | This paper presents a novel approach for the preliminary design of
Low-Thrust, many-revolution transfers. The main feature of the novel approach
is a considerable reduction in the control parameters and a consequent gain in
computational speed. Each spiral is built by using a predefined pattern for
thrust direction and... | computer science |
33,436 | Estimation of soil moisture in paddy field using Artificial Neural
Networks | cs.NE | In paddy field, monitoring soil moisture is required for irrigation
scheduling and water resource allocation, management and planning. The current
study proposes an Artificial Neural Networks (ANN) model to estimate soil
moisture in paddy field with limited meteorological data. Dynamic of ANN model
was adopted to estim... | computer science |
33,437 | Security Assessment of Software Design using Neural Network | cs.CR | Security flaws in software applications today has been attributed mostly to
design flaws. With limited budget and time to release software into the market,
many developers often consider security as an afterthought. Previous research
shows that integrating security into software applications at a later stage of
softwar... | computer science |
33,438 | Mixed Strategy May Outperform Pure Strategy: An Initial Study | cs.NE | In pure strategy meta-heuristics, only one search strategy is applied for all
time. In mixed strategy meta-heuristics, each time one search strategy is
chosen from a strategy pool with a probability and then is applied. An example
is classical genetic algorithms, where either a mutation or crossover operator
is chosen ... | computer science |
33,439 | Neurally Implementable Semantic Networks | cs.NE | We propose general principles for semantic networks allowing them to be
implemented as dynamical neural networks. Major features of our scheme include:
(a) the interpretation that each node in a network stands for a bound
integration of the meanings of all nodes and external events the node links
with; (b) the systemat... | computer science |
33,440 | Application of Artificial Neural Networks in Estimating Participation in
Elections | cs.NE | It is approved that artificial neural networks can be considerable effective
in anticipating and analyzing flows in which traditional methods and statics
are not able to solve. in this article, by using two-layer feedforward network
with tan-sigmoid transmission function in input and output layers, we can
anticipate pa... | computer science |
33,441 | A Neural Network based Approach for Predicting Customer Churn in
Cellular Network Services | cs.NE | Marketing literature states that it is more costly to engage a new customer
than to retain an existing loyal customer. Churn prediction models are
developed by academics and practitioners to effectively manage and control
customer churn in order to retain existing customers. As churn management is an
important activity... | computer science |
33,442 | Proceedings Wivace 2013 - Italian Workshop on Artificial Life and
Evolutionary Computation | cs.CE | The Wivace 2013 Electronic Proceedings in Theoretical Computer Science
(EPTCS) contain some selected long and short articles accepted for the
presentation at Wivace 2013 - Italian Workshop on Artificial Life and
Evolutionary Computation, which was held at the University of Milan-Bicocca,
Milan, on the 1st and 2nd of Ju... | computer science |
33,443 | Meme and Variations: A Computer Model of Cultural Evolution | cs.MA | Holland's (1975) genetic algorithm is a minimal computer model of natural
selection that made it possible to investigate the effect of manipulating
specific parameters on the evolutionary process. If culture is, like biology, a
form of evolution, it should be possible to similarly abstract the underlying
skeleton of th... | computer science |
33,444 | A Hybrid Monte Carlo Ant Colony Optimization Approach for Protein
Structure Prediction in the HP Model | cs.NE | The hydrophobic-polar (HP) model has been widely studied in the field of
protein structure prediction (PSP) both for theoretical purposes and as a
benchmark for new optimization strategies. In this work we introduce a new
heuristics based on Ant Colony Optimization (ACO) and Markov Chain Monte Carlo
(MCMC) that we call... | computer science |
33,445 | Autoencoding Time Series for Visualisation | cs.NE | We present an algorithm for the visualisation of time series. To that end we
employ echo state networks to convert time series into a suitable vector
representation which is capable of capturing the latent dynamics of the time
series. Subsequently, the obtained vector representations are put through an
autoencoder and ... | computer science |
33,446 | Porting HTM Models to the Heidelberg Neuromorphic Computing Platform | cs.NE | Hierarchical Temporal Memory (HTM) is a computational theory of machine
intelligence based on a detailed study of the neocortex. The Heidelberg
Neuromorphic Computing Platform, developed as part of the Human Brain Project
(HBP), is a mixed-signal (analog and digital) large-scale platform for modeling
networks of spikin... | computer science |
33,447 | Multi-objective design of quantum circuits using genetic programming | cs.ET | Quantum computing is a new way of data processing based on the concept of
quantum mechanics. Quantum circuit design is a process of converting a quantum
gate to a series of basic gates and is divided into two general categories
based on the decomposition and composition. In the second group, using
evolutionary algorith... | computer science |
33,448 | Optimal Parameter Settings for the $(1+(λ, λ))$ Genetic
Algorithm | cs.NE | The $(1+(\lambda,\lambda))$ genetic algorithm is one of the few algorithms
for which a super-constant speed-up through the use of crossover could be
proven. So far, this algorithm has been used with parameters based also on
intuitive considerations. In this work, we rigorously regard the whole
parameter space and show ... | computer science |
33,449 | Parameterized Analysis of Multi-objective Evolutionary Algorithms and
the Weighted Vertex Cover Problem | cs.NE | A rigorous runtime analysis of evolutionary multi-objective optimization for
the classical vertex cover problem in the context of parameterized complexity
analysis has been presented by Kratsch and Neumann (2013). In this paper, we
extend the analysis to the weighted vertex cover problem and provide a fixed
parameter e... | computer science |
33,450 | The (1+1) Elitist Black-Box Complexity of LeadingOnes | cs.NE | One important goal of black-box complexity theory is the development of
complexity models allowing to derive meaningful lower bounds for whole classes
of randomized search heuristics. Complementing classical runtime analysis,
black-box models help us understand how algorithmic choices such as the
population size, the v... | computer science |
33,451 | The Right Mutation Strength for Multi-Valued Decision Variables | cs.NE | The most common representation in evolutionary computation are bit strings.
This is ideal to model binary decision variables, but less useful for variables
taking more values. With very little theoretical work existing on how to use
evolutionary algorithms for such optimization problems, we study the run time
of simple... | computer science |
33,452 | Closed loop interactions between spiking neural network and robotic
simulators based on MUSIC and ROS | cs.NE | In order to properly assess the function and computational properties of
simulated neural systems, it is necessary to account for the nature of the
stimuli that drive the system. However, providing stimuli that are rich and yet
both reproducible and amenable to experimental manipulations is technically
challenging, and... | computer science |
33,453 | A Novel Symbolic Type Neural Network Model- Application to River Flow
Forecasting | cs.NE | In this paper we introduce a new symbolic type neural tree network called
symbolic function network (SFN) that is based on using elementary functions to
model systems in a symbolic form. The proposed formulation permits feature
selection, functional selection, and flexible structure. We applied this model
on the River ... | computer science |
33,454 | Genetic algorithms in astronomy and astrophysics | cs.NE | Genetic algorithms (GAs) emulate the process of biological evolution, in a
computational setting, in order to generate good solutions to difficult search
and optimisation problems. GA-based optimisers tend to be extremely robust and
versatile compared to most traditional techniques used to solve optimisation
problems. ... | computer science |
33,455 | A quantum genetic algorithm with quantum crossover and mutation
operations | cs.NE | In the context of evolutionary quantum computing in the literal meaning, a
quantum crossover operation has not been introduced so far. Here, we introduce
a novel quantum genetic algorithm which has a quantum crossover procedure
performing crossovers among all chromosomes in parallel for each generation. A
complexity an... | computer science |
33,456 | Supervised Learning in Multilayer Spiking Neural Networks | cs.NE | The current article introduces a supervised learning algorithm for multilayer
spiking neural networks. The algorithm presented here overcomes some
limitations of existing learning algorithms as it can be applied to neurons
firing multiple spikes and it can in principle be applied to any linearisable
neuron model. The a... | computer science |
33,457 | Classification by Ensembles of Neural Networks | cs.NE | We introduce a new procedure for training of artificial neural networks by
using the approximation of an objective function by arithmetic mean of an
ensemble of selected randomly generated neural networks, and apply this
procedure to the classification (or pattern recognition) problem. This approach
differs from the st... | computer science |
33,458 | Improved Model Reduction and Tuning of Fractional Order
PIλDμ Controllers for Analytical Rule Extraction with Genetic
Programming | cs.SY | Genetic Algorithm (GA) has been used in this paper for a new approach of
sub-optimal model reduction in the Nyquist plane and optimal time domain tuning
of PID and fractional order (FO) PI{\lambda}D{\mu} controllers. Simulation
studies show that the Nyquist based new model reduction technique outperforms
the convention... | computer science |
33,459 | On an Ethical Use of Neural Networks: A Case Study on a North Indian
Raga | cs.NE | The paper gives an artificial neural network (ANN) approach to time series
modeling, the data being instance versus notes (characterized by pitch)
depicting the structure of a North Indian raga, namely, Bageshree. Respecting
the sentiments of the artists' community, the paper argues why it is more
ethical to model a st... | computer science |
33,460 | Improvement of Loadability in Distribution System Using Genetic
Algorithm | cs.SY | Generally during recent decades due to development of power systems, the
methods for delivering electrical energy to consumers, and because of voltage
variations is a very important problem, the power plants follow this criteria.
The good solution for improving transfer and distribution of electrical power
the majority... | computer science |
33,461 | Exploiting Particle Swarm Optimization in Multiple Faults Fuzzy
Detection | cs.NE | In this paper an on-line multiple faults detection approach is first of all
proposed. For efficiency, an optimal design of membership functions is
required. Thus, the proposed approach is improved using Particle Swarm
Optimization (PSO) technique. The inputs of the proposed approaches are
residuals representing the num... | computer science |
33,462 | An Analysis of the Methods Employed for Breast Cancer Diagnosis | cs.NE | Breast cancer research over the last decade has been tremendous. The ground
breaking innovations and novel methods help in the early detection, in setting
the stages of the therapy and in assessing the response of the patient to the
treatment. The prediction of the recurrent cancer is also crucial for the
survival of t... | computer science |
33,463 | An Evolutionary Approach to Drug-Design Using Quantam Binary Particle
Swarm Optimization Algorithm | cs.NE | The present work provides a new approach to evolve ligand structures which
represent possible drug to be docked to the active site of the target protein.
The structure is represented as a tree where each non-empty node represents a
functional group. It is assumed that the active site configuration of the
target protein... | computer science |
33,464 | Convergence of the Continuous Time Trajectories of Isotropic Evolution
Strategies on Monotonic C^2-composite Functions | cs.NE | The Information-Geometric Optimization (IGO) has been introduced as a unified
framework for stochastic search algorithms. Given a parametrized family of
probability distributions on the search space, the IGO turns an arbitrary
optimization problem on the search space into an optimization problem on the
parameter space ... | computer science |
33,465 | Multi-robot Cooperative Box-pushing problem using Multi-objective
Particle Swarm Optimization Technique | cs.RO | The present work provides a new approach to solve the well-known multi-robot
co-operative box pushing problem as a multi objective optimization problem
using modified Multi-objective Particle Swarm Optimization. The method proposed
here allows both turning and translation of the box, during shift to a desired
goal posi... | computer science |
33,466 | An Evolution Strategy Approach toward Rule-set Generation for Network
Intrusion Detection Systems (IDS) | cs.CR | With the increasing number of intrusions in system and network
infrastructures, Intrusion Detection Systems (IDS) have become an active area
of research to develop reliable and effective solutions to detect and counter
them. The use of Evolutionary Algorithms in IDS has proved its maturity over
the times. Although most... | computer science |
33,467 | Metaheuristic Optimization: Algorithm Analysis and Open Problems | math.OC | Metaheuristic algorithms are becoming an important part of modern
optimization. A wide range of metaheuristic algorithms have emerged over the
last two decades, and many metaheuristics such as particle swarm optimization
are becoming increasingly popular. Despite their popularity, mathematical
analysis of these algorit... | computer science |
33,468 | Macro-Economic Time Series Modeling and Interaction Networks | cs.NE | Macro-economic models describe the dynamics of economic quantities. The
estimations and forecasts produced by such models play a substantial role for
financial and political decisions. In this contribution we describe an approach
based on genetic programming and symbolic regression to identify variable
interactions in ... | computer science |
33,469 | Identification of Nonlinear Systems From the Knowledge Around Different
Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach | cs.SY | The paper investigates nonlinear system identification using system output
data at various linearized operating points. A feed-forward multi-layer
Artificial Neural Network (ANN) based approach is used for this purpose and
tested for two target applications i.e. nuclear reactor power level monitoring
and an AC servo po... | computer science |
33,470 | Evolution of Plastic Learning in Spiking Networks via Memristive
Connections | cs.ET | This article presents a spiking neuroevolutionary system which implements
memristors as plastic connections, i.e. whose weights can vary during a trial.
The evolutionary design process exploits parameter self-adaptation and variable
topologies, allowing the number of neurons, connection weights, and
inter-neural connec... | computer science |
33,471 | A Neural Network Approach to ECG Denoising | cs.CE | We propose an ECG denoising method based on a feed forward neural network
with three hidden layers. Particulary useful for very noisy signals, this
approach uses the available ECG channels to reconstruct a noisy channel. We
tested the method, on all the records from Physionet MIT-BIH Arrhythmia
Database, adding electro... | computer science |
33,472 | Black box modelling of HVAC system : improving the performances of
neural networks | cs.NE | This paper deals with neural networks modelling of HVAC systems. In order to
increase the neural networks performances, a method based on sensitivity
analysis is applied. The same technique is also used to compute the relevance
of each input. To avoid the prediction errors in dry coil conditions, a
metamodel for each c... | computer science |
33,473 | Collaborating Robotics Using Nature-Inspired Meta-Heuristics | cs.NE | This paper introduces collaborating robots which provide the possibility of
enhanced task performance, high reliability and decreased. Collaborating-bots
are a collection of mobile robots able to self-assemble and to self-organize in
order to solve problems that cannot be solved by a single robot. These robots
combine ... | computer science |
33,474 | Evolvability Is Inevitable: Increasing Evolvability Without the Pressure
to Adapt | cs.NE | Why evolvability appears to have increased over evolutionary time is an
important unresolved biological question. Unlike most candidate explanations,
this paper proposes that increasing evolvability can result without any
pressure to adapt. The insight is that if evolvability is heritable, then an
unbiased drifting pro... | computer science |
33,475 | A Genetic Algorithm for Power-Aware Virtual Machine Allocation in
Private Cloud | cs.NE | Energy efficiency has become an important measurement of scheduling algorithm
for private cloud. The challenge is trade-off between minimizing of energy
consumption and satisfying Quality of Service (QoS) (e.g. performance or
resource availability on time for reservation request). We consider resource
needs in context ... | computer science |
33,476 | A Weight-coded Evolutionary Algorithm for the Multidimensional Knapsack
Problem | cs.NE | A revised weight-coded evolutionary algorithm (RWCEA) is proposed for solving
multidimensional knapsack problems. This RWCEA uses a new decoding method and
incorporates a heuristic method in initialization. Computational results show
that the RWCEA performs better than a weight-coded evolutionary algorithm
proposed by ... | computer science |
33,477 | On the performance of a hybrid genetic algorithm in dynamic environments | cs.NE | The ability to track the optimum of dynamic environments is important in many
practical applications. In this paper, the capability of a hybrid genetic
algorithm (HGA) to track the optimum in some dynamic environments is
investigated for different functional dimensions, update frequencies, and
displacement strengths in... | computer science |
33,478 | Using Artificial Intelligence Models in System Identification | cs.NE | Artificial Intelligence (AI) techniques are known for its ability in tackling
problems found to be unyielding to traditional mathematical methods. A recent
addition to these techniques are the Computational Intelligence (CI) techniques
which, in most cases, are nature or biologically inspired techniques. Different
CI t... | computer science |
33,479 | Immune System Approaches to Intrusion Detection - A Review (ICARIS) | cs.CR | The use of artificial immune systems in intrusion detection is an appealing
concept for two reasons. Firstly, the human immune system provides the human
body with a high level of protection from invading pathogens, in a robust,
self-organised and distributed manner. Secondly, current techniques used in
computer securit... | computer science |
33,480 | The Dendritic Cell Algorithm for Intrusion Detection | cs.CR | As one of the solutions to intrusion detection problems, Artificial Immune
Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is
no one archetypal AIS, instead there are four major paradigms. Among them, the
Dendritic Cell Algorithm (DCA) has produced promising results in various
applications. ... | computer science |
33,481 | Real-world Transfer of Evolved Artificial Immune System Behaviours
between Small and Large Scale Robotic Platforms | cs.NE | In mobile robotics, a solid test for adaptation is the ability of a control
system to function not only in a diverse number of physical environments, but
also on a number of different robotic platforms. This paper demonstrates that a
set of behaviours evolved in simulation on a miniature robot (epuck) can be
transferre... | computer science |
33,482 | Wavelet feature extraction and genetic algorithm for biomarker detection
in colorectal cancer data | cs.NE | Biomarkers which predict patient's survival can play an important role in
medical diagnosis and treatment. How to select the significant biomarkers from
hundreds of protein markers is a key step in survival analysis. In this paper a
novel method is proposed to detect the prognostic biomarkers of survival in
colorectal ... | computer science |
33,483 | Theoretical formulation and analysis of the deterministic dendritic cell
algorithm | cs.NE | As one of the emerging algorithms in the field of Artificial Immune Systems
(AIS), the Dendritic Cell Algorithm (DCA) has been successfully applied to a
number of challenging real-world problems. However, one criticism is the lack
of a formal definition, which could result in ambiguity for understanding the
algorithm. ... | computer science |
33,484 | A Solution of Degree Constrained Spanning Tree Using Hybrid GA | cs.NE | In real life, it is always an urge to reach our goal in minimum effort i.e.,
it should have a minimum constrained path. The path may be shortest route in
practical life, either physical or electronic medium. The scenario is to
represents the ambiance as a graph and to find a spanning tree with custom
design criteria. H... | computer science |
33,485 | Amino Acid Interaction Network Prediction using Multi-objective
Optimization | cs.CE | Protein can be represented by amino acid interaction network. This network is
a graph whose vertices are the proteins amino acids and whose edges are the
interactions between them. This interaction network is the first step of
proteins three-dimensional structure prediction. In this paper we present a
multi-objective e... | computer science |
33,486 | Intelligent Systems for Information Security | cs.NE | This thesis aims to use intelligent systems to extend and improve performance
and security of cryptographic techniques. Genetic algorithms framework for
cryptanalysis problem is addressed. A novel extension to the differential
cryptanalysis using genetic algorithm is proposed and a fitness measure based
on the differen... | computer science |
33,487 | Multi-GPU parallel memetic algorithm for capacitated vehicle routing
problem | cs.DC | The goal of this paper is to propose and test a new memetic algorithm for the
capacitated vehicle routing problem in parallel computing environment. In this
paper we consider simple variation of vehicle routing problem in which the only
parameter is the capacity of the vehicle and each client only needs one
package. We... | computer science |
33,488 | Optimal Intelligent Control for Wind Turbulence Rejection in WECS Using
ANNs and Genetic Fuzzy Approach | cs.SY | One of the disadvantages in Connection of wind energy conversion systems
(WECSs) to transmission networks is plentiful turbulence of wind speed.
Therefore effects of this problem must be controlled. Nowadays,
pitch-controlled WECSs are increasingly used for variable speed and pitch wind
turbines. Megawatt class wind tu... | computer science |
33,489 | Study of Neural Network Algorithm for Straight-Line Drawings of Planar
Graphs | cs.CG | Graph drawing addresses the problem of finding a layout of a graph that
satisfies given aesthetic and understandability objectives. The most important
objective in graph drawing is minimization of the number of crossings in the
drawing, as the aesthetics and readability of graph drawings depend on the
number of edge cr... | computer science |
33,490 | Increasing Server Availability for Overall System Security: A Preventive
Maintenance Approach Based on Failure Prediction | cs.DC | Server Availability (SA) is an important measure of overall systems security.
Important security systems rely on the availability of their hosting servers to
deliver critical security services. Many of these servers offer management
interface through web mainly using an Apache server. This paper investigates
the increa... | computer science |
33,491 | Reaserchnig the Development of the Electrical Power System Using
Systemically Evolutionary Algorithm | cs.NE | The paper contains the concept and the results of research concerning the
evolutionary algorithm, identified based on the systems control theory, which
was called the Systemically of Evolutionary Algorithm (SAE). Special attention
was paid to two elements of evolutionary algorithms, which have not been fully
solved yet... | computer science |
33,492 | Parallel Genetic Algorithm to Solve Traveling Salesman Problem on
MapReduce Framework using Hadoop Cluster | cs.DC | Traveling Salesman Problem (TSP) is one of the most common studied problems
in combinatorial optimization. Given the list of cities and distances between
them, the problem is to find the shortest tour possible which visits all the
cities in list exactly once and ends in the city where it starts. Despite the
Traveling S... | computer science |
33,493 | The parametrized probabilistic finite-state transducer probe game player
fingerprint model | cs.GT | Fingerprinting operators generate functional signatures of game players and
are useful for their automated analysis independent of representation or
encoding. The theory for a fingerprinting operator which returns the
length-weighted probability of a given move pair occurring from playing the
investigated agent against... | computer science |
33,494 | Multidiscipinary Optimization For Gas Turbines Design | math.OC | State-of-the-art aeronautic Low Pressure gas Turbines (LPTs) are already
characterized by high quality standards, thus they offer very narrow margins of
improvement. Typical design process starts with a Concept Design (CD) phase,
defined using mean-line 1D and other low-order tools, and evolves through a
Preliminary De... | computer science |
33,495 | Short-term plasticity as cause-effect hypothesis testing in distal
reward learning | cs.NE | Asynchrony, overlaps and delays in sensory-motor signals introduce ambiguity
as to which stimuli, actions, and rewards are causally related. Only the
repetition of reward episodes helps distinguish true cause-effect relationships
from coincidental occurrences. In the model proposed here, a novel plasticity
rule employs... | computer science |
33,496 | A Three-Phase Search Approach for the Quadratic Minimum Spanning Tree
Problem | cs.DS | Given an undirected graph with costs associated with each edge as well as
each pair of edges, the quadratic minimum spanning tree problem (QMSTP)
consists of determining a spanning tree of minimum total cost. This problem can
be used to model many real-life network design applications, in which both
routing and interfe... | computer science |
33,497 | Sex as Gibbs Sampling: a probability model of evolution | cs.NE | We show that evolutionary computation can be implemented as standard
Markov-chain Monte-Carlo (MCMC) sampling. With some care, `genetic algorithms'
can be constructed that are reversible Markov chains that satisfy detailed
balance; it follows that the stationary distribution of populations is a Gibbs
distribution in a ... | computer science |
33,498 | Artificial Mutation inspired Hyper-heuristic for Runtime Usage of
Multi-objective Algorithms | cs.SE | In the last years, multi-objective evolutionary algorithms (MOEA) have been
applied to different software engineering problems where many conflicting
objectives have to be optimized simultaneously. In theory, evolutionary
algorithms feature a nice property for runtime optimization as they can provide
a solution in any ... | computer science |
33,499 | LSSVM-ABC Algorithm for Stock Price prediction | cs.CE | In this paper, Artificial Bee Colony (ABC) algorithm which inspired from the
behavior of honey bees swarm is presented. ABC is a stochastic population-based
evolutionary algorithm for problem solving. ABC algorithm, which is considered
one of the most recently swarm intelligent techniques, is proposed to optimize
least... | computer science |
33,500 | A Parallel Memetic Algorithm to Solve the Vehicle Routing Problem with
Time Windows | cs.DC | This paper presents a parallel memetic algorithm for solving the vehicle
routing problem with time windows (VRPTW). The VRPTW is a well-known NP-hard
discrete optimization problem with two objectives. The main objective is to
minimize the number of vehicles serving customers scattered on the map, and the
second one is ... | computer science |
33,501 | Neural Network Approach to Railway Stand Lateral Skew Control | cs.SY | The paper presents a study of an adaptive approach to lateral skew control
for an experimental railway stand. The preliminary experiments with the real
experimental railway stand and simulations with its 3-D mechanical model,
indicates difficulties of model-based control of the device. Thus, use of
neural networks for ... | computer science |
33,502 | A Machine Learning Model for Stock Market Prediction | cs.CE | Stock market prediction is the act of trying to determine the future value of
a company stock or other financial instrument traded on a financial exchange. | computer science |
33,503 | Uav Route Planning For Maximum Target Coverage | cs.RO | Utilization of Unmanned Aerial Vehicles (UAVs) in military and civil
operations is getting popular. One of the challenges in effectively tasking
these expensive vehicles is planning the flight routes to monitor the targets.
In this work, we aim to develop an algorithm which produces routing plans for a
limited number o... | computer science |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.