A genetic algorithm tutorial

Statistics and Computing, Journal Year: 1994, Volume and Issue: 4(2)

Published: June 1, 1994

Language: Английский

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Parameter control in evolutionary algorithms

IEEE Transactions on Evolutionary Computation, Journal Year: 1999, Volume and Issue: 3(2), P. 124 - 141

Published: July 1, 1999

The issue of controlling values various parameters an evolutionary algorithm is one the most important and promising areas research in computation: it has a potential adjusting to problem while solving problem. In paper we: 1) revise terminology, which unclear confusing, thereby providing classification such control mechanisms, 2) survey forms have been studied by computation community recent years. Our covers major parameter suggests some directions for further research.

Language: Английский

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A new evolutionary system for evolving artificial neural networks

IEEE Transactions on Neural Networks, Journal Year: 1997, Volume and Issue: 8(3), P. 694 - 713

Published: May 1, 1997

This paper presents a new evolutionary system, i.e., EPNet, for evolving artificial neural networks (ANNs). The algorithm used in EPNet is based on Fogel's programming (EP). Unlike most previous studies ANN's, this puts its emphasis ANN's behaviors. Five mutation operators proposed reflect such an Close behavioral links between parents and their offspring are maintained by various mutations, as partial training node splitting. evolves architectures connection weights (including biases) simultaneously order to reduce the noise fitness evaluation. parsimony of evolved encouraged preferring node/connection deletion addition. has been tested number benchmark problems machine learning ANNs, parity problem, medical diagnosis problems, Australian credit card assessment Mackey-Glass time series prediction problem. experimental results show that can produce very compact ANNs with good generalization ability comparison other algorithms.

Language: Английский

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Parallelism and evolutionary algorithms

IEEE Transactions on Evolutionary Computation, Journal Year: 2002, Volume and Issue: 6(5), P. 443 - 462

Published: Oct. 1, 2002

This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: 1) different families EAs have naturally converged in last decade while parallel (PEAs) are still lack unified studies; and 2) there large number improvements these their that raise need comprehensive survey. We stress differences between EA model its implementation throughout paper. discuss advantages drawbacks PEAs. Also, successful applications mentioned open problems identified. propose potential solutions to classify ways which recent results theory practice helping solve them. Finally, we provide highly structured background relating PEAs order make researchers aware benefits decentralizing parallelizing an EA.

Language: Английский

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Removing the Genetics from the Standard Genetic Algorithm

Elsevier eBooks, Journal Year: 1995, Volume and Issue: unknown, P. 38 - 46

Published: Jan. 1, 1995

Language: Английский

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Parameter Setting in Evolutionary Algorithms

Studies in computational intelligence, Journal Year: 2007, Volume and Issue: unknown

Published: Jan. 1, 2007

Language: Английский

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Evolutionary Computation for Modeling and Optimization

Springer eBooks, Journal Year: 2006, Volume and Issue: unknown

Published: Jan. 1, 2006

Language: Английский

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Evaluating evolutionary algorithms

Artificial Intelligence, Journal Year: 1996, Volume and Issue: 85(1-2), P. 245 - 276

Published: Aug. 1, 1996

Language: Английский

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Evolutionary Algorithms

Encyclopedia of GIS, Journal Year: 2017, Volume and Issue: unknown, P. 565 - 565

Published: Jan. 1, 2017

This article broadly introduces evolutionary algorithms and discusses the current trends, both in a historical perspective with respect to practical outcomes. It then quickly surveys theoretical results main domains of applications.

Language: Английский

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Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction

Studies in computational intelligence, Journal Year: 2019, Volume and Issue: unknown, P. 69 - 85

Published: Feb. 1, 2019

Language: Английский

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