Title :
On the differential evolution schemes in MOEA/D
Author :
Huang, Waibin ; Li, Hui
Author_Institution :
Sch. of Comput. & Comput. Sci., Zhejiang Univ. City Coll., Hangzhou, China
Abstract :
Recently, MOEA/D has gained some success in tackling a class of continuous multi-objective optimization problems with complicated pareto sets. It uses a simple differential evolution scheme (i.e., DE/BEST/1) to produce offspring solutions. However, the performance of MOEA/D is very sensitive to the parameters in differential evolution schemes, such as scaling factor. In this paper, we further investigate the influence of various DE schemes in MOEA/D. Our experimental results show that the performance of MOEA/D relies on the choice of mating parents in DE schemes.
Keywords :
Pareto optimisation; evolutionary computation; MOEA/D; complicated Pareto sets; continuous multiobjective optimization problems; differential evolution schemes; evolutionary multiobjective optimization; Convergence; Educational institutions; Evolutionary computation; IEEE Press; Optical fibers; Optimization; Shape;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583335
