Nash Dominance with Applications to Equilibrium Problems with Equilibrium Constraints

被引：0

作者：

Koh, Andrew ^{[1
]}

机构：

[1] Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England

来源：

SOFT COMPUTING IN INDUSTRIAL APPLICATIONS - ALGORITHMS, INTEGRATION, AND SUCCESS STORIES | 2010年 / 75卷

关键词：

GAMES;

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：

We examine a novel idea for the detection of Nash Equilibrium developed in [15] and apply it to Equilibrium Problems with Equilibrium Constraints (EPECs). EPECs are Nash games which uniquely feature players constrained by a condition governing equilibrium of a parametric system. By redefining the selection criteria used in evolutionary methods, EPECs can be solved using Evolutionary Multiobjective Optimization algorithms. We give a proposed algorithm (NDEMO) and illustrate it with numerical examples.

引用

页码：71 / 79

页数：9

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