期刊论文、会议论文

Jiang, Shouyong

英文

2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

2016

2145-2152

IEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)

IEEE Congress on Evolutionary Computation

JUL 24-29, 2016

Vancouver, CANADA

[Jiang, Shouyong;Yang, Shengxiang] De Montfort Univ, Sch Comp Sci, Leicester LE1 9BH, Leics, England.^[Guo, Jinglei] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.

IEEE, IEEE Computat Intelligence Soc, Int Neural Network Soc, Evolutionary Programming Soc, IET, IEEE BigData Initiat, Gulf Univ Sci & Technol

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-0622-9

10.1109/CEC.2016.7744053

本校为其他机构

The multiobjective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multiobjective optimization problem into a number of single-objective problems and solves them collaboratively. Since its introduction, MOEA/D has gained increasing research interest and has become a benchmark for validating new designed algorithms. Despite that, some recent studies have revealed that MOEA/D faces some difficulties to solve problems with complicated characteristics. In this paper, we study the influence of the penalty-based boundary intersection (PBI) approach, one of the most popular decomp...