会议论文

Guo, Jinglei

英文

2021 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC 2021)

2021

1319-1326

IEEE Congress on Evolutionary Computation (IEEE CEC)

IEEE Congress on Evolutionary Computation

JUN 28-JUL 01, 2021

ELECTR NETWORK

[Guo, Jinglei;Shao, Miaomiao] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.^[Jiang, Shouyong] Univ Lincoln, Sch Comp Sci, Lincoln, England.^[Zhou, Xinyu] Jiangxi Normal Univ, Sch Comp & Informat Engn, Nanchang, Jiangxi, Peoples R China.

IEEE, IEEE Computat Intelligence Soc, Jagiellonian Univ, Polish Acad Sci, Comm Informat, AGH Univ Sci & Technol, Warsaw Univ Technol

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

IEEE

978-1-7281-8392-3

10.1109/CEC45853.2021.9504907

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61966019]; Key Lab of Digital Signal and Image Processing of Guangdong Province [2019GDDSIPL-04]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU20TS026]

本校为第一且通讯机构

The aim of multi-objective particle swarm optimizer (MOPSO) is to find an accurate and well-distributed approximation of the true Pareto Front (PF). The intrinsic character of PSO puts convergence first, which can cause great loss of population diversity. How to maintain the convergence and diversity simultaneously is an essential issue for MOPSO. In this paper, we propose a niche based multi-objective particle swarm optimizer (NMOPSO) to balance the convergence and diversity. First, a niche based on the Euclidean distance is constructed for each particle, then the leading particle is chosen o...