HIGHLIGHTS
- who: Yingxin Zhang et al. from the School of Computer Science and Technology, Ocean University of China, Qingdao, China have published the research work: NSGA-II/SDR-OLS: A Novel Large-Scale Many-Objective Optimization Method Using Opposition-Based Learning and Local Search, in the Journal: Mathematics 2023, 11, 1911. of /2023/
- what: The authors compare the algorithm with six existing algorithms which are promising region-based multi-objective evolutionary algorithms (PREA) scalable small subpopulation-based covariance matrix adaptation evolution strategy (S3-CMA-ES) decomposition-based multi-objective evolutionary algorithm guided by growing neural gas . . .
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