DocumentCode
2763318
Title
An Adaptive Multi-objective Evolutionary Algorithm Based on Differential Evolution
Author
Xiao, RuoHui
Author_Institution
WenZhou Vocational Coll. of Sci. & Technol., Wenzhou, China
Volume
2
fYear
2010
fDate
6-7 March 2010
Firstpage
393
Lastpage
396
Abstract
Multi-objective Optimization Evolutionary Algorithm can be applied to problems in Economies, Management and Engineering; actually, most of design problem in real world can be reduced to multi-objective optimization problem. This paper proposed a new Evolutionary Algorithm based on Differential Evolution. The experimental results as the test-bed show that this algorithm can obtain quite fine approximated Pareto fronts and the fronts cover the theoretical Pareto front; these results imply that the proposed algorithm performs well.
Keywords
Conference management; Decoding; Design engineering; Design optimization; Educational institutions; Encoding; Engineering management; Environmental management; Evolutionary computation; Genetic mutations; Adaptive; Differential Evolution; Evolutionary Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-0-7695-3972-0
Electronic_ISBN
978-1-4244-5924-7
Type
conf
DOI
10.1109/CESCE.2010.270
Filename
5493310
Link To Document