DocumentCode :
2694908
Title :
Multi-objective optimization based on self-adaptive differential evolution algorithm
Author :
Huang, V.L. ; Qin, A.K. ; Suganthan, P.N. ; Tasgetiren, M.F.
Author_Institution :
Nanyang Technol. Univ., Singapore
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
3601
Lastpage :
3608
Abstract :
In this paper, our recently developed Self-adaptive Differential Evolution algorithm (SaDE) is extended to solve numerical optimization problems with multiple conflicting objectives. The performance of the proposed MOSaDE algorithm is evaluated on a suit of 19 benchmark problems provided for the CEC2007 special session (http://www.ntu.edu.sg/home/epnsugan/) on Performance Assessment of Multi-Objective Optimization Algorithms.
Keywords :
evolutionary computation; optimisation; multiobjective optimization; self-adaptive differential evolution algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424939
Filename :
4424939
Link To Document :
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