Many-Objective Evolutionary Optimization using Density Peaks Scoring Selection Strategy-Reference-Cited by-同舟云学术

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Many-Objective Evolutionary Optimization using Density Peaks Scoring Selection Strategy

Published:2024-07-14 Issue: Volume:21 Page:331-334
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Ghodsi Siamak¹^ORCID,Tahmasebi Sahar²^ORCID,Jalili Mahdi³^ORCID,Moradi Parham³⁴^ORCID

Affiliation:

1. Free University of Berlin, Hannover, Germany

2. TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany

3. RMIT University, Melbourne, Australia

4. University of Kurdistan, Melbourne, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638530.3654217

Reference24 articles.

1. He, Z. and Yen, G. G. Many-Objective Evolutionary Algorithms Based on Coordinated Selection Strategy. IEEE Transactions on Evolutionary Computation, 21, 2 (2017), 220--233.

2. Many-Objective Evolutionary Algorithms

3. Gandibleux, X. Multiple criteria optimization: state of the art annotated bibliographic surveys. Springer Science & Business Media, 2006.

4. Fleming, P. J., Purshouse, R. C. and Lygoe, R. J. Many-objective optimization: An engineering design perspective. Springer, City, 2005.

5. Optimal design of water distribution systems using many-objective visual analytics;Fu G.;Journal of Water Resources Planning and Management,2012

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