A Multi-Objective Memetic Algorithm Based on Chaos Optimization

被引：2
|
作者：
Ammaruekarat, Paranya [1 ]
Meesad, Phayung [1 ]
机构：
[1] King Mongkuts Univ Technol N Bangkok, Dept Informat Technol, Bangkok, Thailand
来源：
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 | 2012年 / 130-134卷
关键词：
Multi-Objective Memetic algorithm; Chaos Optimization; Chaos Mutation;
D O I：
10.4028/www.scientific.net/AMM.130-134.725
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this research, a new Memetic Algorithm (MA) for Multi-Objective (MO) optimization is proposed, which combines ability of chaos optimization algorithm is proposed based on the ergodic and stochastic properties of the chaos variables. A new MA updating strategy is proposed based upon the concept to deal with the problem of premature convergence and diversity maintenance within the chromosome. The proposed features are examined to show effects in MO optimization. The comparative study shows the effectiveness of the proposed MA, which produces solution sets that are highly competitive in terms of convergence Measurement and Spread Measurement.
引用
收藏
页码：725 / 729
页数：5
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