TY - GEN
T1 - Multi-objective differential evolution with self-navigation
AU - Li, Ke
AU - Kwong, Sam
AU - Wang, Ran
AU - Cao, Jingjing
AU - Rudas, Imre J.
PY - 2012
Y1 - 2012
N2 - Traditional differential evolution (DE) mutation operators explore the search space with no considering the information about the search directions, which results in a purely stochastic behavior. This paper presents a DE variant with self-navigation ability for multi-objective optimization (MODE/SN). It maintains a pool of well designed DE mutation operators with distinct search behaviors and applies them in an adaptive way according to the feedback information from the optimization process. Moreover, we deploy the neural network, which is trained by the extreme learning machine, for mapping an artificially generated solution in the objective space back into the decision space. Empirical results demonstrate that MODE/SN outperforms several state-of-the-art algorithms on a set of benchmark problems with variable linkages. © 2012 IEEE.
AB - Traditional differential evolution (DE) mutation operators explore the search space with no considering the information about the search directions, which results in a purely stochastic behavior. This paper presents a DE variant with self-navigation ability for multi-objective optimization (MODE/SN). It maintains a pool of well designed DE mutation operators with distinct search behaviors and applies them in an adaptive way according to the feedback information from the optimization process. Moreover, we deploy the neural network, which is trained by the extreme learning machine, for mapping an artificially generated solution in the objective space back into the decision space. Empirical results demonstrate that MODE/SN outperforms several state-of-the-art algorithms on a set of benchmark problems with variable linkages. © 2012 IEEE.
KW - Differential evolution
KW - multi-objective evolutionary algorithm (MOEA)
KW - neural network
UR - http://www.scopus.com/inward/record.url?scp=84872411104&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84872411104&origin=recordpage
U2 - 10.1109/ICSMC.2012.6377775
DO - 10.1109/ICSMC.2012.6377775
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781467317146
SP - 508
EP - 513
BT - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Y2 - 14 October 2012 through 17 October 2012
ER -