Co-evolution pattern based on ecological population competition model

Xian Bin Cao; Wen Jian Luo; Xu Fa Wang

Co-evolution pattern based on ecological population competition model

Xian Bin Cao^*
, Wen Jian Luo
, Xu Fa Wang

^*此作品的通讯作者

University of Science and Technology of China

科研成果: 期刊稿件 › 文章 › 同行评审

31 引用（Scopus）

摘要

Individual evolution is based on its fitness in Genetic Algorithm, but its living environment and relationship with other parts aren't involved. Enlightened by the knowledge of ecological environment and population competition, a new co-evolution model is proposed, which is based on ecological population competition model. The experiment results show the high efficiency of the improved Genetic Algorithms based on this model in solving premature convergence and accelerating the convergence.

源语言	英语
页（从-至）	556-562
页数	7
期刊	Ruan Jian Xue Bao/Journal of Software
卷	12
期	4
出版状态	已出版 - 4月 2001
已对外发布	是

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@article{61043e483c294eebbc4906da0d1c4927,

title = "Co-evolution pattern based on ecological population competition model",

abstract = "Individual evolution is based on its fitness in Genetic Algorithm, but its living environment and relationship with other parts aren't involved. Enlightened by the knowledge of ecological environment and population competition, a new co-evolution model is proposed, which is based on ecological population competition model. The experiment results show the high efficiency of the improved Genetic Algorithms based on this model in solving premature convergence and accelerating the convergence.",

keywords = "Ecological environment, Ecological population competition, Genetic algorithm, Population density, Premature convergence",

author = "Cao, \{Xian Bin\} and Luo, \{Wen Jian\} and Wang, \{Xu Fa\}",

year = "2001",

month = apr,

language = "英语",

volume = "12",

pages = "556--562",

journal = "Ruan Jian Xue Bao/Journal of Software",

issn = "1000-9825",

publisher = "Chinese Academy of Sciences",

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TY - JOUR

T1 - Co-evolution pattern based on ecological population competition model

AU - Cao, Xian Bin

AU - Luo, Wen Jian

AU - Wang, Xu Fa

PY - 2001/4

Y1 - 2001/4

N2 - Individual evolution is based on its fitness in Genetic Algorithm, but its living environment and relationship with other parts aren't involved. Enlightened by the knowledge of ecological environment and population competition, a new co-evolution model is proposed, which is based on ecological population competition model. The experiment results show the high efficiency of the improved Genetic Algorithms based on this model in solving premature convergence and accelerating the convergence.

AB - Individual evolution is based on its fitness in Genetic Algorithm, but its living environment and relationship with other parts aren't involved. Enlightened by the knowledge of ecological environment and population competition, a new co-evolution model is proposed, which is based on ecological population competition model. The experiment results show the high efficiency of the improved Genetic Algorithms based on this model in solving premature convergence and accelerating the convergence.

KW - Ecological environment

KW - Ecological population competition

KW - Genetic algorithm

KW - Population density

KW - Premature convergence

UR - https://www.scopus.com/pages/publications/0035322199

M3 - 文章

AN - SCOPUS:0035322199

SN - 1000-9825

VL - 12

SP - 556

EP - 562

JO - Ruan Jian Xue Bao/Journal of Software

JF - Ruan Jian Xue Bao/Journal of Software

IS - 4

ER -

Co-evolution pattern based on ecological population competition model

摘要

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