Article

A Cooperative Coevolutionary Approach to Function Optimization

Authors:

PPSN III: Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature

Pages 249 - 257

Published: 09 October 1994 Publication History

Abstract

No abstract available.

Cited By

View all

Festa ADixit GTumer KDastani MSichman JAlechina NDignum V(2024)Influence-Focused Asymmetric Island ModelProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663127(2261-2263)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3663127
Nemeth ZFaulkner Rainford PPorter B(2024)Ecosystem Curation in Genetic Improvement for Emergent Software SystemsProceedings of the 13th ACM/IEEE International Workshop on Genetic Improvement10.1145/3643692.3648260(9-10)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.1145/3643692.3648260
Kelly LMasek MLam CAbela BGupta ALi XHandl J(2024)Evolving Visual Counterfactual Medical Imagery Explanations with Cooperative Co-evolution using Dynamic DecompositionProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3654224(291-294)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3654224
Show More Cited By

Recommendations

Guided mutations in cooperative coevolutionary algorithms for function optimization
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation

In this study, a mutation method called "guided mutation" is proposed. In guided mutation, each individual maintains two mutation control parameters: mutation direction and mutation step size. Guidance in mutations is provided by continuous updates on ...
A cooperative coevolutionary biogeography-based optimizer

With its unique migration operator and mutation operator, Biogeography-Based Optimization (BBO), which simulates migration of species in natural biogeography, is different from existing evolutionary algorithms, but it has shortcomings such as poor ...
Quantum-Behaved Particle Swarm Optimization with Cooperative-Competitive Coevolutionary
KAM '08: Proceedings of the 2008 International Symposium on Knowledge Acquisition and Modeling

Based on the previous introduced Quantum-behaved Particle Swarm Optimization (QPSO), in this paper, a revised QPSO with hybrid cooperative and competitive mechanism is proposed. The cooperative and competitive mechanism improves the diversity of the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

PPSN III: Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature

October 1994

615 pages

ISBN:3540584846

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 09 October 1994

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

175
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Festa ADixit GTumer KDastani MSichman JAlechina NDignum V(2024)Influence-Focused Asymmetric Island ModelProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663127(2261-2263)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3663127
Nemeth ZFaulkner Rainford PPorter B(2024)Ecosystem Curation in Genetic Improvement for Emergent Software SystemsProceedings of the 13th ACM/IEEE International Workshop on Genetic Improvement10.1145/3643692.3648260(9-10)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.1145/3643692.3648260
Kelly LMasek MLam CAbela BGupta ALi XHandl J(2024)Evolving Visual Counterfactual Medical Imagery Explanations with Cooperative Co-evolution using Dynamic DecompositionProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3654224(291-294)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3654224
Festa ADixit GTumer KLi XHandl J(2024)Reinforcing Inter-Class Dependencies in the Asymmetric Island ModelProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654213(740-748)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654213
Dixit GTumer KLi XHandl J(2024)Informed Diversity Search for Learning in Asymmetric Multiagent SystemsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654206(313-321)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654206
Komarnicki MPrzewozniczek MTinós RLi XLi XHandl J(2024)Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization ProblemsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654171(665-673)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654171
Cook JTumer KLi XHandl J(2024)Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative CoevolutionProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654157(286-294)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654157
Dixit GTumer KAgmon NAn BRicci AYeoh W(2023)Learning Inter-Agent Synergies in Asymmetric Multiagent SystemsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598812(1569-1577)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.5555/3545946.3598812
Dixit GTumer KSilva SPaquete L(2023)Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent SystemsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590524(447-455)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583131.3590524
Fontbonne NMaudet NBredeche NSilva SPaquete L(2023)Adaptive Team Cooperative Co-Evolution for a Multi-Rover Distribution ProblemProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590500(466-475)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583131.3590500
Show More Cited By

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

Cited By

Recommendations

Guided mutations in cooperative coevolutionary algorithms for function optimization

A cooperative coevolutionary biogeography-based optimizer

Quantum-Behaved Particle Swarm Optimization with Cooperative-Competitive Coevolutionary

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations