Article

An investigation of niche and species formation in genetic function optimization

Authors:

Kalyanmoy Deb,

David E. GoldbergAuthors Info & Claims

Proceedings of the third international conference on Genetic algorithms

Pages 42 - 50

Published: 01 December 1989 Publication History

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De Franca FSilva SPaquete L(2023)Fighting Underspecification in Symbolic Regression with Fitness SharingProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590525(551-554)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590525
Dhebar YDeb K(2017)A computationally fast multimodal optimization with push enabled genetic algorithmProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3067695.3076023(191-192)Online publication date: 15-Jul-2017
https://dl.acm.org/doi/10.1145/3067695.3076023
Das SChaudhuri SDas A(2017)Optimal Set of Overlapping Clusters Using Multi-objective Genetic AlgorithmProceedings of the 9th International Conference on Machine Learning and Computing10.1145/3055635.3056653(232-237)Online publication date: 24-Feb-2017
https://dl.acm.org/doi/10.1145/3055635.3056653
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An investigation of niche and species formation in genetic function optimization

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Niching techniques are commonly incorporated into evolutionary computation (EC) algorithms to address multimodal optimization problems (MMOPs). Nevertheless, identifying proper individuals as niche centers remains the main challenge in niching ...

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Published In

Proceedings of the third international conference on Genetic algorithms

December 1989

445 pages

ISBN:1558600063

Editor:
J. David Schaffer

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 01 December 1989

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De Franca FSilva SPaquete L(2023)Fighting Underspecification in Symbolic Regression with Fitness SharingProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590525(551-554)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590525
Dhebar YDeb K(2017)A computationally fast multimodal optimization with push enabled genetic algorithmProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3067695.3076023(191-192)Online publication date: 15-Jul-2017
https://dl.acm.org/doi/10.1145/3067695.3076023
Das SChaudhuri SDas A(2017)Optimal Set of Overlapping Clusters Using Multi-objective Genetic AlgorithmProceedings of the 9th International Conference on Machine Learning and Computing10.1145/3055635.3056653(232-237)Online publication date: 24-Feb-2017
https://dl.acm.org/doi/10.1145/3055635.3056653
Amirjanov ASobolev K(2015)Changing range genetic algorithm for multimodal function optimisationInternational Journal of Bio-Inspired Computation10.1504/IJBIC.2015.0710757:4(209-221)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1504/IJBIC.2015.071075
Horn JAlba E(2013)NP-completeness and the coevolution of exact set coversProceedings of the 15th annual conference on Genetic and evolutionary computation10.1145/2463372.2465807(1597-1604)Online publication date: 6-Jul-2013
https://dl.acm.org/doi/10.1145/2463372.2465807
Ranjeet THingston PLam CMasek MMoore J(2012)Evaluating coevolution on a multimodal problemProceedings of the 14th annual conference companion on Genetic and evolutionary computation10.1145/2330784.2330995(1469-1470)Online publication date: 7-Jul-2012
https://dl.acm.org/doi/10.1145/2330784.2330995
Hingston PRanjeet TLam CMasek M(2012)A multimodal problem for competitive coevolutionProceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence10.1007/978-3-642-35101-3_29(338-349)Online publication date: 4-Dec-2012
https://dl.acm.org/doi/10.1007/978-3-642-35101-3_29
Coello C(2011)Evolutionary multi-objective optimizationProceedings of the Third Mexican conference on Pattern recognition10.5555/2026143.2026147(22-33)Online publication date: 29-Jun-2011
https://dl.acm.org/doi/10.5555/2026143.2026147
Ulrich TThiele LLanzi P(2011)Maximizing population diversity in single-objective optimizationProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001665(641-648)Online publication date: 12-Jul-2011
https://dl.acm.org/doi/10.1145/2001576.2001665
Zapotecas Martínez SCoello Coello CPelikan MBranke J(2010)A novel diversification strategy for multi-objective evolutionary algorithmsProceedings of the 12th annual conference companion on Genetic and evolutionary computation10.1145/1830761.1830852(2031-2034)Online publication date: 7-Jul-2010
https://dl.acm.org/doi/10.1145/1830761.1830852
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Niche Genetic Algorithm Based on Sexual Reproduction and Multimodal Function Optimization Problem

Coevolution of multiple species through niche construction modifying shared environments

Niche center identification differential evolution for multimodal optimization problems

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