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Preventing premature convergence to local optima in genetic algorithms via random offspring generation

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IEA/AIE '99: Proceedings of the 12th international conference on Industrial and engineering applications of artificial intelligence and expert systems: multiple approaches to intelligent systems

Pages 127 - 136

Published: 01 June 1999 Publication History

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Pan XWang WZhang XLi BYi JSong DElkind EVeloso MAgmon NTaylor M(2019)How You Act Tells a LotProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331715(368-376)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3331715
Pavai GGeetha T(2019)New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithmsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3016-123:11(3661-3686)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00500-018-3016-1
Chen ZLin TTang NXia X(2016)A Parallel Genetic Algorithm Based Feature Selection and Parameter Optimization for Support Vector MachineScientific Programming10.1155/2016/27396212016(1)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1155/2016/2739621
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Preventing premature convergence to local optima in genetic algorithms via random offspring generation

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Published In

IEA/AIE '99: Proceedings of the 12th international conference on Industrial and engineering applications of artificial intelligence and expert systems: multiple approaches to intelligent systems

June 1999

899 pages

ISBN:3540660763

Editors:
Ibrahim Imam
Thinking Machines Corp., USA
,
Yves Kodratoff
Univ. Paris Sud, France
,
Ayman El-Dessouki
Electronics Research Institute, Egypt
,
Moonis Ali
Southwest Texas State Univ.

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Springer-Verlag

Berlin, Heidelberg

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Published: 01 June 1999

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Pan XWang WZhang XLi BYi JSong DElkind EVeloso MAgmon NTaylor M(2019)How You Act Tells a LotProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331715(368-376)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3331715
Pavai GGeetha T(2019)New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithmsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3016-123:11(3661-3686)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00500-018-3016-1
Chen ZLin TTang NXia X(2016)A Parallel Genetic Algorithm Based Feature Selection and Parameter Optimization for Support Vector MachineScientific Programming10.1155/2016/27396212016(1)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1155/2016/2739621
Pavai GGeetha T(2016)A Survey on Crossover OperatorsACM Computing Surveys10.1145/300996649:4(1-43)Online publication date: 20-Dec-2016
https://dl.acm.org/doi/10.1145/3009966
Zapater MRisco-Martn JArroba PAyala JMoya JHermida R(2016)Runtime data center temperature prediction using Grammatical Evolution techniquesApplied Soft Computing10.1016/j.asoc.2016.07.04249:C(94-107)Online publication date: 1-Dec-2016
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Filho JStrum MChau W(2015)Using genetic algorithms for hardware core placement and mapping in NoC-based reconfigurable systemsInternational Journal of Reconfigurable Computing10.1155/2015/9029252015(1-1)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1155/2015/902925
Ahmad FIsa NHussain ZYahaya SBoudville RRahman MSaod ASaad Z(2015)Enhanced Genetic Algorithm Applied for Global OptimizationProceeings, Part II, of the 22nd International Conference on Neural Information Processing - Volume 949010.1007/978-3-319-26535-3_23(198-205)Online publication date: 9-Nov-2015
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Macret MPasquier PArnold D(2014)Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programmingProceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation10.1145/2576768.2598303(309-316)Online publication date: 12-Jul-2014
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Pandey HChaudhary AMehrotra D(2014)A comparative review of approaches to prevent premature convergence in GAApplied Soft Computing10.1016/j.asoc.2014.08.02524:C(1047-1077)Online publication date: 1-Nov-2014
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Choubey NKharat M(2013)Hybrid system for handling premature convergence in GA - Case of grammar inductionApplied Soft Computing10.1016/j.asoc.2012.03.06913:5(2923-2931)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1016/j.asoc.2012.03.069
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Self-adjusting the intensity of assortative mating in genetic algorithms

Genetic diversity as an objective in multi-objective evolutionary algorithms

Maintaining Genetic Diversity in Multimodal Evolutionary Algorithms using Population Injection

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