A many-objective evolutionary algorithm based on corner solution and cosine distance-Reference-Cited by-同舟云学术

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A many-objective evolutionary algorithm based on corner solution and cosine distance

Published:2022-08-08 Issue:8 Volume:53 Page:9321-9343
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang Mengzhen,Ge Fangzhen,Chen Debao,Liu Huaiyu

Funder

Natural Science Foundation of Anhui Province

National Natural Science Foundation of China

Natural Science Foundation of Anhui Provincial Department of Education

research and development project of anhui

Graduate Research and Innovation Projects of Huaibei Normal University

the Natural Science Research Project of Anhui Province

the funding plan for scientific research activities of academic and technical leaders and reserve candidates in Anhui Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03883-9.pdf

Reference56 articles.

1. Zhang M, Wang L, Li W, Hu B, Li D, Wu Q (2021) Many-objective evolutionary algorithm with adaptive reference vector. Inf Sci 563:70–90. https://doi.org/10.1016/j.ins.2021.01.015

2. Di Matteo M, Maier HR, Dandy GC (2019) Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in. Environ Model Softw 111:340–355. https://doi.org/10.1016/j.envsoft.2018.09.008

3. Xu J, Zhang Z, Hu Z, Du L, Cai X (2021) A many-objective optimized task allocation scheduling model in cloud computing. Appl Intell 51(6):3293–3310. https://doi.org/10.1007/s10489-020-01887-x

4. Hu Z, Wei Z, Sun H, Yang J, Wei L (2021) Optimization of metal rolling control using soft computing approaches: a review. Arch Comput Methods Eng 28(2):405–421. https://doi.org/10.1007/s11831-019-09380-6

5. Hu Z, Wei Z, Ma X, Sun H, Yang J (2020) Multi-parameter deep-perception and many-objective autonomous-control of rolling schedule on high speed cold tandem mill. ISA Transactions 102:193–207. https://doi.org/10.1016/j.isatra.2020.02.024

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