TY - GEN
T1 - On the differential evolution schemes in MOEA/D
AU - Huang, Waibin
AU - Li, Hui
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/78149353352
U2 - 10.1109/ICNC.2010.5583335
DO - 10.1109/ICNC.2010.5583335
M3 - 会议稿件
AN - SCOPUS:78149353352
SN - 9781424459612
T3 - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
SP - 2788
EP - 2792
BT - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
T2 - 2010 6th International Conference on Natural Computation, ICNC'10
Y2 - 10 August 2010 through 12 August 2010
ER -