DocumentCode
2258072
Title
A Novel Weight Design in Multi-objective Evolutionary Algorithm
Author
Gu, Fang-Qing ; Liu, Hai-Lin
Author_Institution
Fac. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China
fYear
2010
fDate
11-14 Dec. 2010
Firstpage
137
Lastpage
141
Abstract
This paper presents a method to improve the performance of MOEA/D. The idea is to approximate the Pareto front(PF) by using a linear interpolation of the non-dominant solutions. It propose a novel weight design method for multi-objective evolutionary algorithm. Even when the PF is complex, we can obtain the Pareto optimal solutions which are distributed uniformly over the PF. Some test functions are constructed to compare the performance of the proposed algorithm with that of MOEA/D. The results indicate that the proposed algorithm could significantly outperform MOEA/D on these test instances.
Keywords
Pareto optimisation; evolutionary computation; interpolation; MOEA-D; Pareto front; linear interpolation; multiobjective evolutionary algorithm; Evolutionary algorithm; Multi-objective optimization; linear interpolation; uniformly distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-9114-8
Electronic_ISBN
978-0-7695-4297-3
Type
conf
DOI
10.1109/CIS.2010.37
Filename
5696249
Link To Document