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
收藏
页码：1052 / 1055
页数：4
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