A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems

A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems

Unconstrained continuous large-scale global optimization (LSGO) is still a challenging task for a wide range of modern metaheuristic approaches. A cooperative coevolution approach is a good tool for increasing the performance of an evolutionary algorithm in solving high-dimensional optimization prob...

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Bibliographic Details
Main Authors: Aleksei Vakhnin, Evgenii Sopov
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Algorithms
Subjects:
large-scale global optimization
cooperative coevolution
evolutionary algorithms
computational intelligence
Online Access:https://www.mdpi.com/1999-4893/15/12/451

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https://www.mdpi.com/1999-4893/15/12/451

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