A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment
Author:
Funder
National Natural Science Foundation of China
the Science and Technology Major Project of Hubei Province
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12293-023-00401-3.pdf
Reference46 articles.
1. Chen J, Ding J, Tan KC, Chen Q (2021) A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization. Memet Comput 13(3):413–432
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3. Han D, Du W, Du W, Jin Y, Wu C (2019) An adaptive decomposition-based evolutionary algorithm for many-objective optimization. Inf Sci 491:204–222
4. Zhao W, Zhang Z, Mirjalili S, Wang L, Khodadadi N, Mirjalili SM (2022) An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems. Comput Methods Appl Mech Eng 398:115223
5. He L, Chiong R, Li W, Budhi GS, Zhang Y (2022) A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles. Knowl Based Syst 243:108315
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