Feature information prediction algorithm for dynamic multi-objective optimization problems
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DOI: 10.1016/j.ejor.2021.01.028
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References listed on IDEAS
- Tsionas, Mike G., 2019. "Multi-objective optimization using statistical models," European Journal of Operational Research, Elsevier, vol. 276(1), pages 364-378.
- Zhao, Zhiwei & Yang, Jingming & Hu, Ziyu & Che, Haijun, 2016. "A differential evolution algorithm with self-adaptive strategy and control parameters based on symmetric Latin hypercube design for unconstrained optimization problems," European Journal of Operational Research, Elsevier, vol. 250(1), pages 30-45.
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Cited by:
- Sun, Hao & Wang, Cong & Li, Xiaxia & Hu, Ziyu, 2024. "A decision variable classification strategy based on the degree of environmental change for dynamic multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 313(1), pages 296-311.
- Xiao Ya Deng, 2022. "Multi-Objective Optimization Information Fusion and Its Applications for Logistics Centers Maximum Coverage," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(2), pages 1-12, April.
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Keywords
Evolutionary computations; Dynamic multi-objective optimization; Different distributions; Feature information prediction; Joint distribution adaptation;All these keywords.
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