Article

Genetic algorithms with sharing for multimodal function optimization

Authors:

David E. Goldberg,

Jon RichardsonAuthors Info & Claims

Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application

Pages 41 - 49

Published: 01 October 1987 Publication History

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Lalejini ADolson EVostinar AZaman LWagner M(2022)Selection schemes from evolutionary computing show promise for directed evolution of microbesProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3528900(723-726)Online publication date: 9-Jul-2022
https://dl.acm.org/doi/10.1145/3520304.3528900
Osa T(2020)Multimodal trajectory optimization for motion planningInternational Journal of Robotics Research10.1177/027836492091829639:8(983-1001)Online publication date: 24-Sep-2020
https://dl.acm.org/doi/10.1177/0278364920918296
Khazaiepoor MBardsiri AKeynia F(2019)A Dataset-Independent Model for Estimating Software Development Effort Using Soft Computing TechniquesApplied Computer Systems10.2478/acss-2019-001124:2(82-93)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.2478/acss-2019-0011
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Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application

October 1987

260 pages

ISBN:0805801588

Editor:
John J. Grefenstette

Publisher

L. Erlbaum Associates Inc.

United States

Publication History

Published: 01 October 1987

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Lalejini ADolson EVostinar AZaman LWagner M(2022)Selection schemes from evolutionary computing show promise for directed evolution of microbesProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3528900(723-726)Online publication date: 9-Jul-2022
https://dl.acm.org/doi/10.1145/3520304.3528900
Osa T(2020)Multimodal trajectory optimization for motion planningInternational Journal of Robotics Research10.1177/027836492091829639:8(983-1001)Online publication date: 24-Sep-2020
https://dl.acm.org/doi/10.1177/0278364920918296
Khazaiepoor MBardsiri AKeynia F(2019)A Dataset-Independent Model for Estimating Software Development Effort Using Soft Computing TechniquesApplied Computer Systems10.2478/acss-2019-001124:2(82-93)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.2478/acss-2019-0011
Dolson EVostinar AWiser MOfria C(2019)The modes toolboxArtificial Life10.1162/artl_a_0028025:1(50-73)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1162/artl_a_00280
Komosinski MMiazga KAuger AStützle T(2019)Parametrizing convection selectionProceedings of the Genetic and Evolutionary Computation Conference10.1145/3321707.3321864(804-811)Online publication date: 13-Jul-2019
https://dl.acm.org/doi/10.1145/3321707.3321864
Zhang HWang RLiu HLuo HLiu Y(2019)MCDMSRApplied Intelligence10.1007/s10489-019-01414-749:8(2918-2941)Online publication date: 1-Aug-2019
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Zhang XWan QFan Y(2019)Applying modified cuckoo search algorithm for solving systems of nonlinear equationsNeural Computing and Applications10.1007/s00521-017-3088-331:2(553-576)Online publication date: 1-Feb-2019
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Zhang YYang GGuo DSun ZChen D(2019)A novel $$\hbox {CACO}_{\mathrm{R}}$$CACOR-SVR multi-objective optimization approach and its application in aerodynamic shape optimization of high-speed trainSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3172-323:13(5035-5051)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s00500-018-3172-3
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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Zăvoianu ASaminger-Platz SLughofer EAmrhein WTakadama K(2018)Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithmProceedings of the Genetic and Evolutionary Computation Conference10.1145/3205455.3205549(793-800)Online publication date: 2-Jul-2018
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Bacterial foraging optimisation algorithm, particle swarm optimisation and genetic algorithm: a comparative study

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Bacterial foraging optimisation algorithm, particle swarm optimisation and genetic algorithm: a comparative study

A genetic algorithms tutorial tool for numerical function optimisation

Distributed genetic algorithms for function optimization

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