Study of Greedy Genetic Algorithm for Multi-objective Optimization

被引：0
|
作者：
Wang, Shifang
Tian, Li
Wang, Qiangqiang
机构：
来源：
ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4 | 2013年 / 291-294卷
关键词：
genetic algorithm; greedy criterion; multi-objective optimization;
D O I：
10.4028/www.scientific.net/AMM.291-294.2874
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Based on greedy policies, the greedy genetic algorithm (GGA) is proposed for multi-objective optimization problems. In the process of evolution, the greedy policies are used to initialize population, generate crossover and mutation operator, and add new individuals to the population every a few generations. All these procedures are designed to prevent premature convergence and improve the performance of Pareto front, which can be showed by examples of six test functions.
引用
收藏
页码：2874 / 2877
页数：4
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