Equilibrium states of iterated random maps arising in evolutionary algorithms

被引：0

作者：

Hernandez, G ^{[1
]}

Niño, F ^{[1
]}

Quas, A ^{[1
]}

Dasgupta, D ^{[1
]}

机构：

[1] Univ Memphis, Dept Math Sci, Memphis, TN 38152 USA

来源：

PROCEEDINGS OF THE FIFTH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1 AND 2 | 2000年

关键词：

evolutionary algorithms; iterated random maps; ergodic theory; equilibrium states;

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：

This paper studies the equilibrium states and the dynamical entropy of iterated random maps that arise in modeling a class of evolutionary algorithms.

引用

页码：1052 / 1055

页数：4

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