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Journal of artificial evolution and applications.
ISSN: 16876237 Year: 2008 Publisher: New York, NY : Hindawi Publ.

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Periodical
ACM transactions on evolutionary learning and optimization.
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ISSN: 26883007 Year: 2021 Publisher: New York, NY : Association for Computing Machinery,

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Periodical
SIGEVOlution : newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation.
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Year: 2006 Publisher: New York : Association for Computing Machinery,


Periodical
IEEE transactions on evolutionary computation : a publication of the IEEE Neural Networks Council
Authors: ---
ISSN: 1089778X Year: 1997 Publisher: New York, NY: IEEE,

Foundations of software technology and theoretical computer science : 18th Conference, Chennai, India, December 17-19, 1998 : proceedings
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ISSN: 03029743 ISBN: 3540653848 9783540653844 3540493824 Year: 1998 Volume: 1530 Publisher: Berlin: Springer,

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Keywords

Evolutionary programming (Computer science) --- Quantum computers --- Molecular computers --- Programmation évolutive --- Ordinateurs quantiques --- Ordinateurs moléculaires --- Congresses --- Programming Languages, Compilers, Interpreters. --- Computer software --- Electronic data processing --- Computer science. --- Software engineering. --- Programming languages (Electronic computers). --- Computers. --- Computer science --- Computer Science. --- Theory of Computation. --- Software Engineering. --- Discrete Mathematics in Computer Science. --- Mathematics. --- Information theory. --- Computational complexity. --- Complexity, Computational --- Machine theory --- Informatics --- Science --- Computer software engineering --- Engineering --- Communication theory --- Communication --- Cybernetics --- Computer science—Mathematics. --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace --- Molecular computers. --- Computer software. --- Software, Computer --- DNA-based computers --- DNA computers --- Biocomputers --- Natural computation --- Evolutionary programming (Computer science) - Congresses --- Quantum computers - Congresses --- Molecular computers - Congresses --- Programmation évolutive - Congrès --- Ordinateurs quantiques - Congrès --- Ordinateurs moléculaires - Congrès

Towards a new evolutionary computation : advances in the estimation of distribution algorithms
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ISBN: 9783540290063 3540290060 9786610943654 1280943653 3540324941 Year: 2006 Volume: 192 Publisher: Berlin, Germany ; New York, New York : Springer,

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This is a nicely edited volume on Estimation of Distribution Algorithms (EDAs) by leading researchers on this important topic. It covers a wide range of topics in EDAs, from theoretical analysis to experimental studies, from single objective to multi-objective optimisation, and from parallel EDAs to hybrid EDAs. It is a very useful book for everyone who is interested in EDAs, evolutionary computation or optimisation in general. Xin Yao, IEEE Fellow Editor-in-Chief, IEEE Transactions on Evolutionary Computation ______________________________________________________________ Estimation of Distribution Algorithms (EDAs) have "removed genetics" from Evolutionary Algorithms (EAs). However, both approaches (still) have a lot in common, and, for instance, each one could be argued to in fact include the other! Nevertheless, whereas some theoretical approaches that are specific to EDAs are being proposed, many practical issues are common to both fields, and, though proposed in the mid 90's only, EDAs are catching up fast now with EAs, following many research directions that have proved successful for the latter: opening to different search domains, hybridizing with other methods (be they OR techniques or EAs themselves!), going parallel, tackling difficult application problems, and the like. This book proposes an up-to-date snapshot of this rapidly moving field, and witnesses its maturity. It should hence be read ... rapidly, by anyone interested in either EDAs or EAs, or more generally in stochastic optimization. Marc Schoenauer Editor-in-Chief, Evolutionary Computation.


Periodical
IEEE transactions on evolutionary computation : a publication of the IEEE Neural Networks Council.
Authors: ---
ISSN: 19410026 Year: 1997 Publisher: New York, NY : Institute of Electrical and Electronics Engineers,

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