TY - GEN
T1 - Approximation model guided selection for evolutionary multiobjective optimization
AU - Zhou, Aimin
AU - Zhang, Qingfu
AU - Zhang, Guixu
PY - 2013
Y1 - 2013
N2 - Selection plays a key role in a multiobjective evolutionary algorithm (MOEA). The dominance based selection operators or indicator based ones are widely used in most current MOEAs. This paper studies another kind of selection, in which a model is firstly built to approximate the Pareto front and then guides the selection of promising solutions into the next generation. Based on this idea, we propose two approximation model guided selection (AMS) operators in this paper: one uses a zero-order model to approximate the Pareto front, and the other uses a first-order model. The experimental results show that the new AMS operators performs well on some test instances.
AB - Selection plays a key role in a multiobjective evolutionary algorithm (MOEA). The dominance based selection operators or indicator based ones are widely used in most current MOEAs. This paper studies another kind of selection, in which a model is firstly built to approximate the Pareto front and then guides the selection of promising solutions into the next generation. Based on this idea, we propose two approximation model guided selection (AMS) operators in this paper: one uses a zero-order model to approximate the Pareto front, and the other uses a first-order model. The experimental results show that the new AMS operators performs well on some test instances.
UR - https://www.scopus.com/pages/publications/84875523280
U2 - 10.1007/978-3-642-37140-0_31
DO - 10.1007/978-3-642-37140-0_31
M3 - 会议稿件
AN - SCOPUS:84875523280
SN - 9783642371394
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 398
EP - 412
BT - Evolutionary Multi-Criterion Optimization - 7th International Conference, EMO 2013, Proceedings
T2 - 7th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2013
Y2 - 19 March 2013 through 22 March 2013
ER -