Title :
An Adaptive Multi-objective Evolutionary Algorithm Based on Differential Evolution
Author_Institution :
WenZhou Vocational Coll. of Sci. & Technol., Wenzhou, China
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;
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
DOI :
10.1109/CESCE.2010.270