Multi-Objective Optimization with Modified Pareto Differential Evolution

被引：13
|
作者：
Chen Xiao-qing [1 ]
Hou Zhong-xi [1 ]
Liu Jian-Xia [1 ]
机构：
[1] NUDT, Coll Aerosp & Mat Engn, Changsha 410073, Hunan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICICTA.2008.365
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a modified Pareto Differential Evolution algorithm approach is introduced to solve multi-objective optimization problems. The modified approach including: improving the crowding mechanism by introducing the Niche theory, introducing a time variant scaling factor F, and using a simple but efficient mutation operator which combines information of the both better and worse solution in the population. The performance of the MDE is measured on the set of ZDT benchmark functions on multi-objective optimization.
引用
收藏
页码：90 / 95
页数：6
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