Evolutionary multitasking for multiobjective optimization based on hybrid differential evolution and multiple search strategy

Author:

Li Ya-Lun,Cheng Yan-YangORCID,Chai Zheng-Yi,Liu XuORCID,Hou Hao-LeORCID,Chen GuoqiangORCID

Funder

Natural Science Foundation of Tianjin Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference56 articles.

1. Many-objective evolutionary algorithms: A survey;Li;ACM Comput. Surv.,2015

2. Resistance–capacitance optimizer: A physics-inspired population-based algorithm for numerical and industrial engineering computation problems;Ravichandran;Sci. Rep.,2023

3. Improved transportation model with internet of things using artificial intelligence algorithm.;Al-Ani;Comput. Mater. Continua,2023

4. Original research article future transportation computing model with trifold algorithm for real-time multipath networks;Chandrakasan;J. Auton. Intell.,2023

5. Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang, A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation, in: Proceedings of the 13th ACM Conference on Recommender Systems, 2019, pp. 20–28.

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