Cooperative mutation based evolutionary programming for continuous function optimization

Doo Hyun Choi

doi:10.1016/S0167-6377(02)00123-2

Cooperative mutation based evolutionary programming for continuous function optimization

Doo Hyun Choi

School of Electronics Engineering

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

In this letter an evolutionary programming (EP) algorithm adapting a new mutation operator is presented. Unlike most previous EPs, in which each individual is mutated on its own, each individual in the proposed algorithm is mutated in cooperation with the other individuals. This not only enhances convergence speed but also gives more chance to escape from local minima.

Original language	English
Pages (from-to)	195-201
Number of pages	7
Journal	Operations Research Letters
Volume	30
Issue number	3
DOIs	https://doi.org/10.1016/S0167-6377(02)00123-2
State	Published - Jun 2002

Keywords

Cooperation
Evolutionary programming
Optimization

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10.1016/S0167-6377(02)00123-2

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title = "Cooperative mutation based evolutionary programming for continuous function optimization",

abstract = "In this letter an evolutionary programming (EP) algorithm adapting a new mutation operator is presented. Unlike most previous EPs, in which each individual is mutated on its own, each individual in the proposed algorithm is mutated in cooperation with the other individuals. This not only enhances convergence speed but also gives more chance to escape from local minima.",

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AU - Choi, Doo Hyun

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N2 - In this letter an evolutionary programming (EP) algorithm adapting a new mutation operator is presented. Unlike most previous EPs, in which each individual is mutated on its own, each individual in the proposed algorithm is mutated in cooperation with the other individuals. This not only enhances convergence speed but also gives more chance to escape from local minima.

AB - In this letter an evolutionary programming (EP) algorithm adapting a new mutation operator is presented. Unlike most previous EPs, in which each individual is mutated on its own, each individual in the proposed algorithm is mutated in cooperation with the other individuals. This not only enhances convergence speed but also gives more chance to escape from local minima.

KW - Cooperation

KW - Evolutionary programming

KW - Optimization

UR - https://www.scopus.com/pages/publications/0036601167

U2 - 10.1016/S0167-6377(02)00123-2

DO - 10.1016/S0167-6377(02)00123-2

M3 - Article

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SN - 0167-6377

VL - 30

SP - 195

EP - 201

JO - Operations Research Letters

JF - Operations Research Letters

IS - 3

ER -

Cooperative mutation based evolutionary programming for continuous function optimization

Abstract

Keywords

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