A computational model of evolution: Haploidy versus diploidy

被引：0

作者：

Isasi, P ^{[1
]}

Sanchis, A ^{[1
]}

Molina, J ^{[1
]}

Berlanga, A ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Dept Informat, Grp Vida Artificial, Madrid 28911, Spain

来源：

COMPUTERS AND ARTIFICIAL INTELLIGENCE | 1999年 / 18卷 / 06期

关键词：

evolutionary computation; diploidy; simulated enviroment;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the study of diploidy is introduced like an important mechanism for memory reinforcement in artificial environments where adaptation is very important. For this study, an ecosystem of birds has been Simulated. The individuals of this ecosystem are able to genetically "learn" the best behaviour for survival. Critical changes, happening in the environmental conditions, require the presence of diploidy to ensure the survival of species.: By means of new gene-dominance configurations, a way to shield the individuals from erroneous selection is provided. These two concepts appear like important elements for artificial systems which have to evolve in environments with some degree of instability.

引用

页码：575 / 594

页数：20

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