期刊论文、会议论文

Jiang, Shouyong

英文

2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

2018

1369-1376

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

IEEE Congress on Evolutionary Computation

JUL 08-13, 2018

Rio de Janeiro, BRAZIL

[Jiang, Shouyong;Kaiser, Marcus;Krasnogor, Natalio] Newcastle Univ, Sch Comp, Newcastle Upon Tyne NE4 5TG, Tyne & Wear, England.^[Wan, Shuzhen] China Three Gorges Univ, Sch Comp Sci & Informat Technol, Yichang, Peoples R China.^[Guo, Jinglei] Cent China Normal Univ, Dept Comp Sci, Wuhan, Hubei, Peoples R China.^[Yang, Shengxiang] De Montfort Univ, Sch Comp Sci & Informat, Leicester, Leics, England.

IEEE, IEEE Computat Intelligence Soc

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

IEEE

978-1-5090-6017-7

10.1109/CEC.2018.8477667

Engineering and Physical Sciences Research Council of U.K.UK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/N031962/1]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61673331]

本校为其他机构

Dynamic multiobjective optimisation deals with multiobjective problems whose objective functions, search spaces, or constraints are time-varying during the optimisation process. Due to wide presence in real-world applications, dynamic mul-tiobjective problems (DMOPs) have been increasingly studied in recent years. Whilst most studies concentrated on DMOPs with only two objectives, there is little work on more objectives. This paper presents an empirical investigation of evolutionary algorithms for three-objective dynamic problems. Experimental studies show that all the evolutionary algorithms ...