Decomposition multi-objective optimisation: Current developments and future opportunities

Ke Li; Qingfu Zhang

doi:10.1145/3449726.3461395

Decomposition multi-objective optimisation: Current developments and future opportunities

Ke Li
, Qingfu Zhang

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Original language	English
Title of host publication	GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	881-898
ISBN (Print)	9781450383516
DOIs	https://doi.org/10.1145/3449726.3461395
Publication status	Published - 7 Jul 2021
Event	2021 Genetic and Evolutionary Computation Conference (GECCO 2021) - Online, Lille, France Duration: 10 Jul 2021 → 14 Jul 2021 https://gecco-2021.sigevo.org/HomePage

Publication series

Name	GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion

Conference

Conference	2021 Genetic and Evolutionary Computation Conference (GECCO 2021)
Abbreviated title	GECCO’21
Place	France
City	Lille
Period	10/07/21 → 14/07/21
Internet address	https://gecco-2021.sigevo.org/HomePage

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10.1145/3449726.3461395

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Li, K., & Zhang, Q. (2021). Decomposition multi-objective optimisation: Current developments and future opportunities. In GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 881-898). (GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion). Association for Computing Machinery. https://doi.org/10.1145/3449726.3461395

Li, Ke ; Zhang, Qingfu. / Decomposition multi-objective optimisation : Current developments and future opportunities. GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. New York : Association for Computing Machinery, 2021. pp. 881-898 (GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion).

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note = "2021 Genetic and Evolutionary Computation Conference (GECCO 2021), GECCO{\textquoteright}21 ; Conference date: 10-07-2021 Through 14-07-2021",

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Li, K & Zhang, Q 2021, Decomposition multi-objective optimisation: Current developments and future opportunities. in GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, pp. 881-898, 2021 Genetic and Evolutionary Computation Conference (GECCO 2021), Lille, France, 10/07/21. https://doi.org/10.1145/3449726.3461395

Decomposition multi-objective optimisation: Current developments and future opportunities. / Li, Ke; Zhang, Qingfu.
GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2021. p. 881-898 (GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Zhang, Qingfu

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DO - 10.1145/3449726.3461395

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450383516

T3 - GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion

SP - 881

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BT - GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery

CY - New York

Y2 - 10 July 2021 through 14 July 2021

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Li K, Zhang Q. Decomposition multi-objective optimisation: Current developments and future opportunities. In GECCO'21 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery. 2021. p. 881-898. (GECCO Companion - Proceedings of the Genetic and Evolutionary Computation Conference Companion). doi: 10.1145/3449726.3461395

Decomposition multi-objective optimisation: Current developments and future opportunities

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