Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art-Reference-Cited by-同舟云学术

Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art

Published:2020-08 Issue: Volume:93 Page:106382
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Liu Qi^ORCID,Li Xiaofeng,Liu Haitao,Guo Zhaoxia^ORCID

Funder

National Natural Science Foundation of China

MOE

Sichuan University, China

Sichuan Province Cyclic Economy Research Center

Publisher

Elsevier BV

Subject

Software

Reference193 articles.

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3. MOEA/D: A multiobjective evolutionary algorithm based on decomposition;Zhang;IEEE Trans. Evol. Comput.,2007

4. M. Ishikawa, I. Matsuda, Revised multi-objective optimization in industry allocation problem,in: Proceedings of the International Conference on Cybernetics and Society, 1978, pp. 505-510.

5. Multi-objective optimization in decentralized management of developemt in large production organizations;Sakawa;Internat. J. Systems Sci.,1977

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