A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy

Author:

Yang Yue,Ma YongjieORCID,Zhao Yan,Zhang Wenping,Wang Yu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. A multi-population approach to dynamic optimization problems;Branke,2000

2. Evolutionary dynamic multiobjective optimization assisted by a support vector regression predictor;Cao;IEEE Trans. Evol. Comput.,2019

3. Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions;Chen;Swarm Evol. Comput.,2023

4. Handling multiple objectives with particle swarm optimization;Coello;IEEE Trans. Evol. Comput.,2004

5. A fast and elitist multiobjective genetic algorithm: nsga-ii;Deb;IEEE Trans. Evol. Comput.,2002

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