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33,303 | Using Neural Networks to improve classical Operating System
Fingerprinting techniques | cs.CR | We present remote Operating System detection as an inference problem: given a
set of observations (the target host responses to a set of tests), we want to
infer the OS type which most probably generated these observations. Classical
techniques used to perform this analysis present several limitations. To
improve the a... | computer science |
33,304 | Evolutionary Computation Algorithms for Cryptanalysis: A Study | cs.CR | The cryptanalysis of various cipher problems can be formulated as NP-Hard
combinatorial problem. Solving such problems requires time and/or memory
requirement which increases with the size of the problem. Techniques for
solving combinatorial problems fall into two broad groups - exact algorithms
and Evolutionary Comput... | computer science |
33,305 | Web Page Categorization Using Artificial Neural Networks | cs.NE | Web page categorization is one of the challenging tasks in the world of ever
increasing web technologies. There are many ways of categorization of web pages
based on different approach and features. This paper proposes a new dimension
in the way of categorization of web pages using artificial neural network (ANN)
throu... | computer science |
33,306 | Non-Existence of Linear Universal Drift Functions | cs.NE | Drift analysis has become a powerful tool to prove bounds on the runtime of
randomized search heuristics. It allows, for example, fairly simple proofs for
the classical problem how the (1+1) Evolutionary Algorithm (EA) optimizes an
arbitrary pseudo-Boolean linear function. The key idea of drift analysis is to
measure t... | computer science |
33,307 | Evolving difficult SAT instances thanks to local search | cs.NE | We propose to use local search algorithms to produce SAT instances which are
harder to solve than randomly generated k-CNF formulae. The first results,
obtained with rudimentary search algorithms, show that the approach deserves
further study. It could be used as a test of robustness for SAT solvers, and
could help to ... | computer science |
33,308 | Testing of information condensation in a model reverberating spiking
neural network | cs.NE | Information about external world is delivered to the brain in the form of
structured in time spike trains. During further processing in higher areas,
information is subjected to a certain condensation process, which results in
formation of abstract conceptual images of external world, apparently,
represented as certain... | computer science |
33,309 | Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian
Connection Matrix | cs.NE | The local minima of a quadratic functional depending on binary variables are
discussed. An arbitrary connection matrix can be presented in the form of
quasi-Hebbian expansion where each pattern is supplied with its own individual
weight. For such matrices statistical physics methods allow one to derive an
equation desc... | computer science |
33,310 | Stable Parallel Looped Systems -- A New Theoretical Framework for the
Evolution of Order | cs.NE | The objective of the paper is to identify laws and mechanisms that allow the
creation of more order from disorder using natural means i.e., without the help
of conscious beings. While this is not possible for the collection of all
dynamical systems as it violates the second law of thermodynamics, I show that
this is po... | computer science |
33,311 | Diagonal Based Feature Extraction for Handwritten Alphabets Recognition
System using Neural Network | stat.CO | An off-line handwritten alphabetical character recognition system using
multilayer feed forward neural network is described in the paper. A new method,
called, diagonal based feature extraction is introduced for extracting the
features of the handwritten alphabets. Fifty data sets, each containing 26
alphabets written ... | computer science |
33,312 | Taking the redpill: Artificial Evolution in native x86 systems | cs.NE | In analogon to successful artificial evolution simulations as Tierra or
avida, this text presents a way to perform artificial evolution in a native x86
system. The implementation of the artificial chemistry and first results of
statistical experiments are presented. | computer science |
33,313 | Ethane: A Heterogeneous Parallel Search Algorithm for Heterogeneous
Platforms | cs.NE | In this paper we present Ethane, a parallel search algorithm specifically
designed for its execution on heterogeneous hardware environments. With Ethane
we propose an algorithm inspired in the structure of the chemical compound of
the same name, implementing a heterogeneous island model based in the structure
of its ch... | computer science |
33,314 | Constructing Runge-Kutta Methods with the Use of Artificial Neural
Networks | cs.NE | A methodology that can generate the optimal coefficients of a numerical
method with the use of an artificial neural network is presented in this work.
The network can be designed to produce a finite difference algorithm that
solves a specific system of ordinary differential equations numerically. The
case we are examin... | computer science |
33,315 | Effects of Compensation, Connectivity and Tau in a Computational Model
of Alzheimer's Disease | cs.NE | This work updates an existing, simplistic computational model of Alzheimer's
Disease (AD) to investigate the behaviour of synaptic compensatory mechanisms
in neural networks with small-world connectivity, and varying methods of
calculating compensation. It additionally introduces a method for simulating
tau neurofibril... | computer science |
33,316 | A Novel Approach for Authenticating Textual or Graphical Passwords Using
Hopfield Neural Network | cs.CR | Password authentication using Hopfield Networks is presented in this paper.
In this paper we discussed the Hopfield Network Scheme for Textual and
graphical passwords, for which input Password will be converted in to
probabilistic values. We observed how to get password authentication using
Probabilistic values for Tex... | computer science |
33,317 | Imitation of Life: Advanced system for native Artificial Evolution | cs.NE | A model for artificial evolution in native x86 Windows systems has been
developed at the end of 2010. In this text, further improvements and additional
analogies to natural microbiologic processes are presented. Several experiments
indicate the capability of the system - and raise the question of possible
countermeasur... | computer science |
33,318 | Complex-Valued Autoencoders | cs.NE | Autoencoders are unsupervised machine learning circuits whose learning goal
is to minimize a distortion measure between inputs and outputs. Linear
autoencoders can be defined over any field and only real-valued linear
autoencoder have been studied so far. Here we study complex-valued linear
autoencoders where the compo... | computer science |
33,319 | Providing information can be a stable non-cooperative evolutionary
strategy | cs.NE | Human language is still an embarrassment for evolutionary theory, as the
speaker's benefit remains unclear. The willingness to communicate information
is shown here to be an evolutionary stable strategy (ESS), even if acquiring
original information from the environment involves significant cost and
communicating it pro... | computer science |
33,320 | Distributed Evolutionary Graph Partitioning | cs.NE | We present a novel distributed evolutionary algorithm, KaFFPaE, to solve the
Graph Partitioning Problem, which makes use of KaFFPa (Karlsruhe Fast Flow
Partitioner). The use of our multilevel graph partitioner KaFFPa provides new
effective crossover and mutation operators. By combining these with a scalable
communicati... | computer science |
33,321 | A Novel Approach for Pass Word Authentication using Brain -State -In -A
Box (BSB) Model | cs.CR | Authentication is the act of confirming the truth of an attribute of a datum
or entity. This might involve confirming the identity of a person, tracing the
origins of an artefact, ensuring that a product is what it's packaging and
labelling claims to be, or assuring that a computer program is a trusted one.
The authent... | computer science |
33,322 | A Probabilistic Approach for Authenticating Text or Graphical Passwords
Using Back Propagation | cs.CR | Password authentication is a common approach to the system security and it is
also a very important procedure to gain access to user resources. In the
conventional password authentication methods a server has to authenticate the
legitimate user. In our proposed method users can freely choose their passwords
from a defi... | computer science |
33,323 | Detecting Collusive Cliques in Futures Markets Based on Trading
Behaviors from Real Data | cs.NE | In financial markets, abnormal trading behaviors pose a serious challenge to
market surveillance and risk management. What is worse, there is an increasing
emergence of abnormal trading events that some experienced traders constitute a
collusive clique and collaborate to manipulate some instruments, thus mislead
other ... | computer science |
33,324 | Playing Mastermind With Constant-Size Memory | cs.DS | We analyze the classic board game of Mastermind with $n$ holes and a constant
number of colors. A result of Chv\'atal (Combinatorica 3 (1983), 325-329)
states that the codebreaker can find the secret code with $\Theta(n / \log n)$
questions. We show that this bound remains valid if the codebreaker may only
store a cons... | computer science |
33,325 | User preference extraction using dynamic query sliders in conjunction
with UPS-EMO algorithm | cs.NE | One drawback of evolutionary multiobjective optimization algorithms (EMOA)
has traditionally been high computational cost to create an approximation of
the Pareto front: number of required objective function evaluations usually
grows high. On the other hand, for the decision maker (DM) it may be difficult
to select one... | computer science |
33,326 | Ag-dependent (in silico) approach implies a deterministic kinetics for
homeostatic memory cell turnover | cs.NE | Verhulst-like mathematical modeling has been used to investigate several
complex biological issues, such as immune memory equilibrium and cell-mediated
immunity in mammals. The regulation mechanisms of both these processes are
still not sufficiently understood. In a recent paper, Choo et al. [J. Immunol.,
v. 185, pp. 3... | computer science |
33,327 | Evolving Chart Pattern Sensitive Neural Network Based Forex Trading
Agents | cs.NE | Though machine learning has been applied to the foreign exchange market for
algorithmic trading for quiet some time now, and neural networks(NN) have been
shown to yield positive results, in most modern approaches the NN systems are
optimized through traditional methods like the backpropagation algorithm for
example, a... | computer science |
33,328 | Perception of Motion and Architectural Form: Computational Relationships
between Optical Flow and Perspective | cs.NE | Perceptual geometry refers to the interdisciplinary research whose objectives
focuses on study of geometry from the perspective of visual perception, and in
turn, applies such geometric findings to the ecological study of vision.
Perceptual geometry attempts to answer fundamental questions in perception of
form and rep... | computer science |
33,329 | Stability of Evolving Multi-Agent Systems | cs.MA | A Multi-Agent System is a distributed system where the agents or nodes
perform complex functions that cannot be written down in analytic form.
Multi-Agent Systems are highly connected, and the information they contain is
mostly stored in the connections. When agents update their state, they take
into account the state ... | computer science |
33,330 | An Amendment of Fast Subspace Tracking Methods | math.NA | Tuning stepsize between convergence rate and steady state error level or
stability is a problem in some subspace tracking schemes. Methods in DPM and
OJA class may show sparks in their steady state error sometimes, even with a
rather small stepsize. By a study on the schemes' updating formula, it is found
that the upda... | computer science |
33,331 | Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict
global radiation | cs.NE | We propose in this paper an original technique to predict global radiation
using a hybrid ARMA/ANN model and data issued from a numerical weather
prediction model (ALADIN). We particularly look at the Multi-Layer Perceptron.
After optimizing our architecture with ALADIN and endogenous data previously
made stationary an... | computer science |
33,332 | Evolution of Ideas: A Novel Memetic Algorithm Based on Semantic Networks | cs.NE | This paper presents a new type of evolutionary algorithm (EA) based on the
concept of "meme", where the individuals forming the population are represented
by semantic networks and the fitness measure is defined as a function of the
represented knowledge. Our work can be classified as a novel memetic algorithm
(MA), giv... | computer science |
33,333 | Competition through selective inhibitory synchrony | cs.NE | Models of cortical neuronal circuits commonly depend on inhibitory feedback
to control gain, provide signal normalization, and to selectively amplify
signals using winner-take-all (WTA) dynamics. Such models generally assume that
excitatory and inhibitory neurons are able to interact easily, because their
axons and den... | computer science |
33,334 | A Comparative Study of Adaptive Crossover Operators for Genetic
Algorithms to Resolve the Traveling Salesman Problem | cs.NE | Genetic algorithm includes some parameters that should be adjusting so that
the algorithm can provide positive results. Crossover operators play very
important role by constructing competitive Genetic Algorithms (GAs). In this
paper, the basic conceptual features and specific characteristics of various
crossover operat... | computer science |
33,335 | Analyzing the Performance of Mutation Operators to Solve the Travelling
Salesman Problem | cs.NE | The genetic algorithm includes some parameters that should be adjusted, so as
to get reliable results. Choosing a representation of the problem addressed, an
initial population, a method of selection, a crossover operator, mutation
operator, the probabilities of crossover and mutation, and the insertion method
creates ... | computer science |
33,336 | A Study on the Behavior of a Neural Network for Grouping the Data | cs.NE | One of the frequently stated advantages of neural networks is that they can
work effectively with non-normally distributed data. But optimal results are
possible with normalized data.In this paper, how normality of the input affects
the behaviour of a K-means fast learning artificial neural network(KFLANN) for
grouping... | computer science |
33,337 | Automated Generation of Cross-Domain Analogies via Evolutionary
Computation | cs.NE | Analogy plays an important role in creativity, and is extensively used in
science as well as art. In this paper we introduce a technique for the
automated generation of cross-domain analogies based on a novel evolutionary
algorithm (EA). Unlike existing work in computational analogy-making restricted
to creating analog... | computer science |
33,338 | Towards the Evolution of Vertical-Axis Wind Turbines using Supershapes | cs.NE | We have recently presented an initial study of evolutionary algorithms used
to design vertical-axis wind turbines (VAWTs) wherein candidate prototypes are
evaluated under approximated wind tunnel conditions after being physically
instantiated by a 3D printer. That is, unlike other approaches such as
computational fluid... | computer science |
33,339 | The conduciveness of CA-rule graphs | nlin.CG | Given two subsets A and B of nodes in a directed graph, the conduciveness of
the graph from A to B is the ratio representing how many of the edges outgoing
from nodes in A are incoming to nodes in B. When the graph's nodes stand for
the possible solutions to certain problems of combinatorial optimization,
choosing its ... | computer science |
33,340 | Initial Version of State Transition Algorithm | math.OC | In terms of the concepts of state and state transition, a new algorithm-State
Transition Algorithm (STA) is proposed in order to probe into classical and
intelligent optimization algorithms. On the basis of state and state
transition, it becomes much simpler and easier to understand. As for continuous
function optimiza... | computer science |
33,341 | Artificial Neural Network Based Prediction of Optimal Pseudo-Damping and
Meta-Damping in Oscillatory Fractional Order Dynamical Systems | cs.SY | This paper investigates typical behaviors like damped oscillations in
fractional order (FO) dynamical systems. Such response occurs due to the
presence of, what is conceived as, pseudo-damping and meta-damping in some
special class of FO systems. Here, approximation of such damped oscillation in
FO systems with the con... | computer science |
33,342 | A hybrid artificial immune system and Self Organising Map for network
intrusion detection | cs.NE | Network intrusion detection is the problem of detecting unauthorised use of,
or access to, computer systems over a network. Two broad approaches exist to
tackle this problem: anomaly detection and misuse detection. An anomaly
detection system is trained only on examples of normal connections, and thus
has the potential... | computer science |
33,343 | Energy Efficient Wireless Communication using Genetic Algorithm Guided
Faster Light Weight Digital Signature Algorithm (GADSA) | cs.CR | In this paper GA based light weight faster version of Digital Signature
Algorithm (GADSA) in wireless communication has been proposed. Various genetic
operators like crossover and mutation are used to optimizing amount of modular
multiplication. Roulette Wheel selection mechanism helps to select best
chromosome which i... | computer science |
33,344 | Agent-based Exploration of Wirings of Biological Neural Networks:
Position Paper | cs.NE | The understanding of human central nervous system depends on knowledge of its
wiring. However, there are still gaps in our understanding of its wiring due to
technical difficulties. While some information is coming out from human
experiments, medical research is lacking of simulation models to put current
findings toge... | computer science |
33,345 | Network Routing Optimization Using Swarm Intelligence | cs.NE | The aim of this paper is to highlight and explore a traditional problem,
which is the minimum spanning tree, and finding the shortest-path in network
routing, by using Swarm Intelligence. This work to be considered as an
investigation topic with combination between operations research, discrete
mathematics, and evoluti... | computer science |
33,346 | copulaedas: An R Package for Estimation of Distribution Algorithms Based
on Copulas | cs.NE | The use of copula-based models in EDAs (estimation of distribution
algorithms) is currently an active area of research. In this context, the
copulaedas package for R provides a platform where EDAs based on copulas can be
implemented and studied. The package offers complete implementations of various
EDAs based on copul... | computer science |
33,347 | Comparative Studies on Decentralized Multiloop PID Controller Design
Using Evolutionary Algorithms | cs.SY | Decentralized PID controllers have been designed in this paper for
simultaneous tracking of individual process variables in multivariable systems
under step reference input. The controller design framework takes into account
the minimization of a weighted sum of Integral of Time multiplied Squared Error
(ITSE) and Inte... | computer science |
33,348 | Computational Intelligence for Deepwater Reservoir Depositional
Environments Interpretation | cs.NE | Predicting oil recovery efficiency of a deepwater reservoir is a challenging
task. One approach to characterize a deepwater reservoir and to predict its
producibility is by analyzing its depositional information. This research
proposes a deposition-based stratigraphic interpretation framework for
deepwater reservoir ch... | computer science |
33,349 | Audio Classical Composer Identification by Deep Neural Network | cs.NE | Audio Classical Composer Identification (ACC) is an important problem in
Music Information Retrieval (MIR) which aims at identifying the composer for
audio classical music clips. The famous annual competition, Music Information
Retrieval Evaluation eXchange (MIREX), also takes it as one of the four
training&testing tas... | computer science |
33,350 | Evolutionary Algorithms and Dynamic Programming | cs.NE | Recently, it has been proven that evolutionary algorithms produce good
results for a wide range of combinatorial optimization problems. Some of the
considered problems are tackled by evolutionary algorithms that use a
representation which enables them to construct solutions in a dynamic
programming fashion. We take a g... | computer science |
33,351 | Constructing Low Star Discrepancy Point Sets with Genetic Algorithms | cs.NE | Geometric discrepancies are standard measures to quantify the irregularity of
distributions. They are an important notion in numerical integration. One of
the most important discrepancy notions is the so-called \emph{star
discrepancy}. Roughly speaking, a point set of low star discrepancy value
allows for a small appro... | computer science |
33,352 | Solving Linear Equations by Classical Jacobi-SR Based Hybrid
Evolutionary Algorithm with Uniform Adaptation Technique | cs.NE | Solving a set of simultaneous linear equations is probably the most important
topic in numerical methods. For solving linear equations, iterative methods are
preferred over the direct methods especially when the coefficient matrix is
sparse. The rate of convergence of iteration method is increased by using
Successive R... | computer science |
33,353 | Synaptic Scaling Balances Learning in a Spiking Model of Neocortex | cs.NE | Learning in the brain requires complementary mechanisms: potentiation and
activity-dependent homeostatic scaling. We introduce synaptic scaling to a
biologically-realistic spiking model of neocortex which can learn changes in
oscillatory rhythms using STDP, and show that scaling is necessary to balance
both positive an... | computer science |
33,354 | For Solving Linear Equations Recombination is a Needless Operation in
Time-Variant Adaptive Hybrid Algorithms | cs.NE | Recently hybrid evolutionary computation (EC) techniques are successfully
implemented for solving large sets of linear equations. All the recently
developed hybrid evolutionary algorithms, for solving linear equations, contain
both the recombination and the mutation operations. In this paper, two modified
hybrid evolut... | computer science |
33,355 | An Approach to Solve Linear Equations Using a Time-Variant Adaptation
Based Hybrid Evolutionary Algorithm | cs.NE | For small number of equations, systems of linear (and sometimes nonlinear)
equations can be solved by simple classical techniques. However, for large
number of systems of linear (or nonlinear) equations, solutions using classical
method become arduous. On the other hand evolutionary algorithms have mostly
been used to ... | computer science |
33,356 | Coordinating metaheuristic agents with swarm intelligence | cs.MA | Coordination of multi agent systems remains as a problem since there is no
prominent method to completely solve this problem. Metaheuristic agents are
specific implementations of multi-agent systems, which imposes working together
to solve optimisation problems with metaheuristic algorithms. The idea borrowed
from swar... | computer science |
33,357 | Hands-free Evolution of 3D-printable Objects via Eye Tracking | cs.NE | Interactive evolution has shown the potential to create amazing and complex
forms in both 2-D and 3-D settings. However, the algorithm is slow and users
quickly become fatigued. We propose that the use of eye tracking for
interactive evolution systems will both reduce user fatigue and improve
evolutionary success. We d... | computer science |
33,358 | Synthesis of neural networks for spatio-temporal spike pattern
recognition and processing | cs.NE | The advent of large scale neural computational platforms has highlighted the
lack of algorithms for synthesis of neural structures to perform predefined
cognitive tasks. The Neural Engineering Framework offers one such synthesis,
but it is most effective for a spike rate representation of neural information,
and it req... | computer science |
33,359 | Digenes: genetic algorithms to discover conjectures about directed and
undirected graphs | cs.DM | We present Digenes, a new discovery system that aims to help researchers in
graph theory. While its main task is to find extremal graphs for a given
(function of) invariants, it also provides some basic support in proof
conception. This has already been proved to be very useful to find new
conjectures since the AutoGra... | computer science |
33,360 | Finding Numerical Solutions of Diophantine Equations using Ant Colony
Optimization | cs.NE | The paper attempts to find numerical solutions of Diophantine equations, a
challenging problem as there are no general methods to find solutions of such
equations. It uses the metaphor of foraging habits of real ants. The ant colony
optimization based procedure starts with randomly assigned locations to a fixed
number ... | computer science |
33,361 | The Ripple Pond: Enabling Spiking Networks to See | cs.NE | In this paper we present the biologically inspired Ripple Pond Network (RPN),
a simply connected spiking neural network that, operating together with
recently proposed PolyChronous Networks (PCN), enables rapid, unsupervised,
scale and rotation invariant object recognition using efficient spatio-temporal
spike coding. ... | computer science |
33,362 | Evolving Boolean Regulatory Networks with Epigenetic Control | cs.NE | The significant role of epigenetic mechanisms within natural systems has
become increasingly clear. This paper uses a recently presented abstract,
tunable Boolean genetic regulatory network model to explore aspects of
epigenetics. It is shown how dynamically controlling transcription via a DNA
methylation-inspired mech... | computer science |
33,363 | The adaptability of physiological systems optimizes performance: new
directions in augmentation | cs.HC | This paper contributes to the human-machine interface community in two ways:
as a critique of the closed-loop AC (augmented cognition) approach, and as a
way to introduce concepts from complex systems and systems physiology into the
field. Of particular relevance is a comparison of the inverted-U (or Gaussian)
model of... | computer science |
33,364 | Codebook Design Method for Noise Robust Speaker Identification based on
Genetic Algorithm | cs.SD | In this paper, a novel method of designing a codebook for noise robust
speaker identification purpose utilizing Genetic Algorithm has been proposed.
Wiener filter has been used to remove the background noises from the source
speech utterances. Speech features have been extracted using standard speech
parameterization m... | computer science |
33,365 | A Hybrid Multi Objective Particle Swarm Optimization Method to Discover
Biclusters in Microarray Data | cs.CE | In recent years, with the development of microarray technique, discovery of
useful knowledge from microarray data has become very important. Biclustering
is a very useful data mining technique for discovering genes which have similar
behavior. In microarray data, several objectives have to be optimized
simultaneously a... | computer science |
33,366 | Digital Ecosystems | cs.MA | We view Digital Ecosystems to be the digital counterparts of biological
ecosystems, which are considered to be robust, self-organising and scalable
architectures that can automatically solve complex, dynamic problems. So, this
work is concerned with the creation, investigation, and optimisation of Digital
Ecosystems, e... | computer science |
33,367 | Enhanced Genetic Algorithm approach for Solving Dynamic Shortest Path
Routing Problems using Immigrants and Memory Schemes | cs.NE | In Internet Routing, the static shortest path (SP) problem has been addressed
using well known intelligent optimization techniques like artificial neural
networks, genetic algorithms (GAs) and particle swarm optimization. Advancement
in wireless communication lead more and more mobile wireless networks, such as
mobile ... | computer science |
33,368 | What can we learn from slow self-avoiding adaptive walks by an infinite
radius search algorithm? | cs.NE | Slow self-avoiding adaptive walks by an infinite radius search algorithm
(Limax) are analyzed as themselves, and as the network they form. The study is
conducted on several NK problems and two HIFF problems. We find that
examination of such "slacker" walks and networks can indicate relative search
difficulty within a f... | computer science |
33,369 | Finite Element Model Updating Using Fish School Search Optimization
Method | cs.CE | A recent nature inspired optimization algorithm, Fish School Search (FSS) is
applied to the finite element model (FEM) updating problem. This method is
tested on a GARTEUR SM-AG19 aeroplane structure. The results of this algorithm
are compared with two other metaheuristic algorithms; Genetic Algorithm (GA)
and Particle... | computer science |
33,370 | An efficient ant based qos aware intelligent temporally ordered routing
algorithm for manets | cs.NI | A Mobile Ad hoc network (MANET) is a self configurable network connected by
wireless links. This type of network is only suitable for temporary
communication links as it is infrastructure-less and there is no centralised
control. Providing QoS aware routing is a challenging task in this type of
network due to dynamic t... | computer science |
33,371 | Complete stability analysis of a heuristic ADP control design | cs.NE | This paper provides new stability results for Action-Dependent Heuristic
Dynamic Programming (ADHDP), using a control algorithm that iteratively
improves an internal model of the external world in the autonomous system based
on its continuous interaction with the environment. We extend previous results
by ADHDP control... | computer science |
33,372 | Guiding Designs of Self-Organizing Swarms: Interactive and Automated
Approaches | cs.NE | Self-organization of heterogeneous particle swarms is rich in its dynamics
but hard to design in a traditional top-down manner, especially when many types
of kinetically distinct particles are involved. In this chapter, we discuss how
we have been addressing this problem by (1) utilizing and enhancing interactive
evolu... | computer science |
33,373 | Complexity of evolutionary equilibria in static fitness landscapes | cs.NE | A fitness landscape is a genetic space -- with two genotypes adjacent if they
differ in a single locus -- and a fitness function. Evolutionary dynamics
produce a flow on this landscape from lower fitness to higher; reaching
equilibrium only if a local fitness peak is found. I use computational
complexity to question th... | computer science |
33,374 | Artificial Immune Systems (INTROS 2) | cs.NE | The biological immune system is a robust, complex, adaptive system that
defends the body from foreign pathogens. It is able to categorize all cells (or
molecules) within the body as self or non-self substances. It does this with
the help of a distributed task force that has the intelligence to take action
from a local ... | computer science |
33,375 | Multi-Objective Particle Swarm Optimization for Facility Location
Problem in Wireless Mesh Networks | cs.NI | Wireless mesh networks have seen a real progress due of their implementation
at a low cost. They present one of Next Generation Networks technologies and
can serve as home, companies and universities networks. In this paper, we
propose and discuss a new multi-objective model for nodes deployment
optimization in Multi-R... | computer science |
33,376 | Universal Approximation Using Shuffled Linear Models | math.DS | This paper proposes a specific type of Local Linear Model, the Shuffled
Linear Model (SLM), that can be used as a universal approximator. Local
operating points are chosen randomly and linear models are used to approximate
a function or system around these points. The model can also be interpreted as
an extension to Ex... | computer science |
33,377 | Simulation Optimization of the Crossdock Door Assignment Problem | cs.NE | The purpose of this report is to present the Crossdock Door Assignment
Problem, which involves assigning destinations to outbound dock doors of
Crossdock centres such that travel distance by material handling equipment is
minimized. We propose a two fold solution; simulation and optimization of the
simulation model sim... | computer science |
33,378 | Using Intelligent Agents to understand organisational behaviour | cs.NE | This paper introduces two ongoing research projects which seek to apply
computer modelling techniques in order to simulate human behaviour within
organisations. Previous research in other disciplines has suggested that
complex social behaviours are governed by relatively simple rules which, when
identified, can be used... | computer science |
33,379 | Genetic-Algorithm Seeding Of Idiotypic Networks For Mobile-Robot
Navigation | cs.NE | Robot-control designers have begun to exploit the properties of the human
immune system in order to produce dynamic systems that can adapt to complex,
varying, real-world tasks. Jernes idiotypic-network theory has proved the most
popular artificial-immune-system (AIS) method for incorporation into
behaviour-based robot... | computer science |
33,380 | Investigating a Hybrid Metaheuristic For Job Shop Rescheduling | cs.NE | Previous research has shown that artificial immune systems can be used to
produce robust schedules in a manufacturing environment. The main goal is to
develop building blocks (antibodies) of partial schedules that can be used to
construct backup solutions (antigens) when disturbances occur during
production. The buildi... | computer science |
33,381 | An Investigation of the Sequential Sampling Method for Crossdocking
Simulation Output Variance Reduction | cs.NE | This paper investigates the reduction of variance associated with a
simulation output performance measure, using the Sequential Sampling method
while applying minimum simulation replications, for a class of JIT (Just in
Time) warehousing system called crossdocking. We initially used the Sequential
Sampling method to at... | computer science |
33,382 | Improved Squeaky Wheel Optimisation for Driver Scheduling | cs.NE | This paper presents a technique called Improved Squeaky Wheel Optimisation
for driver scheduling problems. It improves the original Squeaky Wheel
Optimisations effectiveness and execution speed by incorporating two additional
steps of Selection and Mutation which implement evolution within a single
solution. In the ISW... | computer science |
33,383 | The Application of Bayesian Optimization and Classifier Systems in Nurse
Scheduling | cs.NE | Two ideas taken from Bayesian optimization and classifier systems are
presented for personnel scheduling based on choosing a suitable scheduling rule
from a set for each persons assignment. Unlike our previous work of using
genetic algorithms whose learning is implicit, the learning in both approaches
is explicit, i.e.... | computer science |
33,384 | Digital Ecosystems: Self-Organisation of Evolving Agent Populations | cs.NE | A primary motivation for our research in Digital Ecosystems is the desire to
exploit the self-organising properties of biological ecosystems. Ecosystems are
thought to be robust, scalable architectures that can automatically solve
complex, dynamic problems. Self-organisation is perhaps one of the most
desirable feature... | computer science |
33,385 | Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall
Layout and Tenant Selection Problem | cs.NE | During our earlier research, it was recognised that in order to be successful
with an indirect genetic algorithm approach using a decoder, the decoder has to
strike a balance between being an optimiser in its own right and finding
feasible solutions. Previously this balance was achieved manually. Here we
extend this by... | computer science |
33,386 | Building Better Nurse Scheduling Algorithms | cs.NE | The aim of this research is twofold: Firstly, to model and solve a complex
nurse scheduling problem with an integer programming formulation and
evolutionary algorithms. Secondly, to detail a novel statistical method of
comparing and hence building better scheduling algorithms by identifying
successful algorithm modific... | computer science |
33,387 | An Indirect Genetic Algorithm for a Nurse Scheduling Problem | cs.NE | This paper describes a Genetic Algorithms approach to a manpower-scheduling
problem arising at a major UK hospital. Although Genetic Algorithms have been
successfully used for similar problems in the past, they always had to overcome
the limitations of the classical Genetic Algorithms paradigm in handling the
conflict ... | computer science |
33,388 | Rule Generalisation in Intrusion Detection Systems using Snort | cs.NE | Intrusion Detection Systems (ids)provide an important layer of security for
computer systems and networks, and are becoming more and more necessary as
reliance on Internet services increases and systems with sensitive data are
more commonly open to Internet access. An ids responsibility is to detect
suspicious or unacc... | computer science |
33,389 | An Estimation of Distribution Algorithm for Nurse Scheduling | cs.NE | Schedules can be built in a similar way to a human scheduler by using a set
of rules that involve domain knowledge. This paper presents an Estimation of
Distribution Algorithm (eda) for the nurse scheduling problem, which involves
choosing a suitable scheduling rule from a set for the assignment of each
nurse. Unlike p... | computer science |
33,390 | Towards a human eye behavior model by applying Data Mining Techniques on
Gaze Information from IEC | cs.HC | In this paper, we firstly present what is Interactive Evolutionary
Computation (IEC) and rapidly how we have combined this artificial intelligence
technique with an eye-tracker for visual optimization. Next, in order to
correctly parameterize our application, we present results from applying data
mining techniques on g... | computer science |
33,391 | Cluster Approach to the Domains Formation | cs.NE | As a rule, a quadratic functional depending on a great number of binary
variables has a lot of local minima. One of approaches allowing one to find in
averaged deeper local minima is aggregation of binary variables into larger
blocks/domains. To minimize the functional one has to change the states of
aggregated variabl... | computer science |
33,392 | A Component Based Heuristic Search method with Adaptive Perturbations
for Hospital Personnel Scheduling | cs.NE | Nurse rostering is a complex scheduling problem that affects hospital
personnel on a daily basis all over the world. This paper presents a new
component-based approach with adaptive perturbations, for a nurse scheduling
problem arising at a major UK hospital. The main idea behind this technique is
to decompose a schedu... | computer science |
33,393 | Introduction to Multi-Agent Simulation | cs.NE | When designing systems that are complex, dynamic and stochastic in nature,
simulation is generally recognised as one of the best design support
technologies, and a valuable aid in the strategic and tactical decision making
process. A simulation model consists of a set of rules that define how a system
changes over time... | computer science |
33,394 | A Linear Programming Driven Genetic Algorithm for Meta-Scheduling on
Utility Grids | cs.DC | The user-level brokers in grids consider individual application QoS
requirements and minimize their cost without considering demands from other
users. This results in contention for resources and sub-optimal schedules.
Meta-scheduling in grids aims to address this scheduling problem, which is NP
hard due to its combina... | computer science |
33,395 | Distributed Fault Detection in Sensor Networks using a Recurrent Neural
Network | cs.NE | In long-term deployments of sensor networks, monitoring the quality of
gathered data is a critical issue. Over the time of deployment, sensors are
exposed to harsh conditions, causing some of them to fail or to deliver less
accurate data. If such a degradation remains undetected, the usefulness of a
sensor network can ... | computer science |
33,396 | Forecasting Model for Crude Oil Price Using Artificial Neural Networks
and Commodity Futures Prices | cs.NE | This paper presents a model based on multilayer feedforward neural network to
forecast crude oil spot price direction in the short-term, up to three days
ahead. A great deal of attention was paid on finding the optimal ANN model
structure. In addition, several methods of data pre-processing were tested. Our
approach is... | computer science |
33,397 | An Evolved Neural Controller for Bipdedal Walking with Dynamic Balance | cs.NE | We successfully evolved a neural network controller that produces dynamic
walking in a simulated bipedal robot with compliant actuators, a difficult
control problem. The evolutionary evaluation uses a detailed software
simulation of a physical robot. We describe: 1) a novel theoretical method to
encourage populations t... | computer science |
33,398 | A Mathematical Unification of Geometric Crossovers Defined on Phenotype
Space | cs.NE | Geometric crossover is a representation-independent definition of crossover
based on the distance of the search space interpreted as a metric space. It
generalizes the traditional crossover for binary strings and other important
recombination operators for the most frequently used representations. Using a
distance tail... | computer science |
33,399 | Mathematical Interpretation between Genotype and Phenotype Spaces and
Induced Geometric Crossovers | cs.NE | In this paper, we present that genotype-phenotype mapping can be
theoretically interpreted using the concept of quotient space in mathematics.
Quotient space can be considered as mathematically-defined phenotype space in
the evolutionary computation theory. The quotient geometric crossover has the
effect of reducing th... | computer science |
33,400 | Computing of Applied Digital Ecosystems | cs.NE | A primary motivation for our research in digital ecosystems is the desire to
exploit the self-organising properties of biological ecosystems. Ecosystems are
thought to be robust, scalable architectures that can automatically solve
complex, dynamic problems. However, the computing technologies that contribute
to these p... | computer science |
33,401 | Password Based a Generalize Robust Security System Design Using Neural
Network | cs.CR | Among the various means of available resource protection including
biometrics, password based system is most simple, user friendly, cost effective
and commonly used. But this method having high sensitivity with attacks. Most
of the advanced methods for authentication based on password encrypt the
contents of password b... | computer science |
33,402 | A Framework For Intelligent Multi Agent System Based Neural Network
Classification Model | cs.NE | TIntelligent multi agent systems have great potentials to use in different
purposes and research areas. One of the important issues to apply intelligent
multi agent systems in real world and virtual environment is to develop a
framework that support machine learning model to reflect the whole complexity
of the real wor... | computer science |
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