Differential Evolution for Discrete-time Large Dynamic Games

被引：0

作者：

Suciu, Mihai ^{[1
]}

Lung, Rodica Ioana ^{[1
]}

Gasko, Noemi ^{[1
]}

Dumitrescu, D. ^{[1
]}

机构：

[1] Babes Bolyai Univ Cluj Napoca, Cluj Napoca, Romania

来源：

2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2013年

关键词：

OPTIMIZATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Discrete-time dynamic games capture changes within game parameters (payoffs), representing thus a more realistic real-world decision model. A new approach to equilibria detection and tracking in a dynamic game setting, called Dynamic Equilibrium Tracking Differential Evolution, is proposed. A discrete-time dynamic asymmetric Cournot oligopoly is introduced and used to evaluate the proposed method by means of numerical experiments for instances up to 70 players. Results indicate the effectiveness and the potential of the proposed method.

引用

页码：2108 / 2113

页数：6

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