Article

An Investigation of Niche and Species Formation in Genetic Function Optimization

Authors:

Kalyanmoy Deb,

David E. GoldbergAuthors Info & Claims

Proceedings of the 3rd International Conference on Genetic Algorithms

Pages 42 - 50

Published: 01 June 1989 Publication History

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Bernabé Rodríguez ACoello Coello C(2021)An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers2021 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC45853.2021.9504869(1201-1208)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1109/CEC45853.2021.9504869
Zhan TTang ZGong MJiang XShi JTakadama K(2018)Decomposition-based multiobjective particle swarm optimization for change detection in SAR imagesProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3205651.3208279(1729-1736)Online publication date: 6-Jul-2018
https://dl.acm.org/doi/10.1145/3205651.3208279
Dolson EOfria CTakadama K(2018)Ecological theory provides insights about evolutionary computationProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3205651.3205780(105-106)Online publication date: 6-Jul-2018
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An Investigation of Niche and Species Formation in Genetic Function Optimization

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Published In

Proceedings of the 3rd International Conference on Genetic Algorithms

June 1989

438 pages

ISBN:1558600663

Editor:
J. David Schaffer

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 01 June 1989

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Bernabé Rodríguez ACoello Coello C(2021)An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers2021 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC45853.2021.9504869(1201-1208)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1109/CEC45853.2021.9504869
Zhan TTang ZGong MJiang XShi JTakadama K(2018)Decomposition-based multiobjective particle swarm optimization for change detection in SAR imagesProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3205651.3208279(1729-1736)Online publication date: 6-Jul-2018
https://dl.acm.org/doi/10.1145/3205651.3208279
Dolson EOfria CTakadama K(2018)Ecological theory provides insights about evolutionary computationProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3205651.3205780(105-106)Online publication date: 6-Jul-2018
https://dl.acm.org/doi/10.1145/3205651.3205780
Lu ZDeb KSingh H(2018)Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms2018 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2018.8477976(1-8)Online publication date: 8-Jul-2018
https://dl.acm.org/doi/10.1109/CEC.2018.8477976
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
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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
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Sun YYen GYi Z(2017)Global view-based selection mechanism for many-objective evolutionary algorithms2017 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2017.7969343(427-434)Online publication date: 5-Jun-2017
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Abouhawwash MSeada HDeb K(2017)Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local searchComputers and Operations Research10.1016/j.cor.2016.04.02679:C(331-346)Online publication date: 1-Mar-2017
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Huang LNg CSheikh AGriffith M(2017)Niching particle swarm optimization techniques for multimodal buckling maximization of composite laminatesApplied Soft Computing10.1016/j.asoc.2017.04.00657:C(495-503)Online publication date: 1-Aug-2017
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Rostami SShenfield A(2017)A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problemsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-016-2227-621:17(4963-4979)Online publication date: 1-Sep-2017
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Niche Genetic Algorithm Based on Sexual Reproduction and Multimodal Function Optimization Problem

A species conserving genetic algorithm for multimodal function optimization

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