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Chaotic Genetic Algorithm for Mixed Integer Programming Problem

Published in Applied Mechanics and Materials • Sep 1, 2014
Authors:
Yaming Wang
,
Zhenhe Zhang
,
Jun Bao Zheng

Abstract

This paper proposed a chaotic genetic algorithm (CGA) to solve the mixed integer programming problem (MIPP). The basic idea of this algorithm is to overcome the deficiency of genetic algorithm (GA) by introducing chaotic disturbances into the genetic search process. Two typical MIPP problems are use...

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