会议论文

Jiang, Shouyong

英文

GECCO'18: PROCEEDINGS OF THE 2018 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE

2018

673-680

Genetic and Evolutionary Computation Conference (GECCO)

JUL 15-19, 2018

Kyoto, JAPAN

[Jiang, Shouyong;Kaiser, Marcus;Krasnogor, Natalio] Newcastle Univ, Sch Comp, Newcastle Upon Tyne, Tyne & Wear, England.^[Guo, Jinglei] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.^[Yang, Shengxiang] De Montfort Univ, Sch Comp Sci & Informat, Leicester, Leics, England.

Assoc Comp Machinery Special Interest Grp Genet & Evolutionary Computat, Assoc Comp Machinery, SparkCognition, Nat Res, Sentient, Uber AI Labs, Springer, Beacon, NEC, Fujitsu Ltd, Rakuten Linkshare, NTT DATA Engn Syst Corp, DataDirect Networks Japan, HPCTECH Corp, Intelligent Light, Japanese Soc Evolutionary Computat, Shinshu Univ, Univ Electro Commun, Univ Electro Commun, Artificial Intelligence eXplorat Res Ctr

Aguirre, H

1515 BROADWAY, NEW YORK, NY 10036-9998 USA

ASSOC COMPUTING MACHINERY

978-1-4503-5618-3

10.1145/3205455.3205521

EPSRCUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/N031962/1]

本校为其他机构

Multiobjective optimisation in dynamic environments is challenging due to the presence of dynamics in the problems in question. Whilst much progress has been made in benchmarks and algorithm design for dynamic multiobjective optimisation, there is a lack of work on the detectability of environmental changes and how this affects the performance of evolutionary algorithms. This is not intentionally left blank but due to the unavailability of suitable test cases to study. To bridge the gap, this work presents several scenarios where environmental ...