Abstract: Constrained multi-objective evolutionary algorithms have been extensively used for solving real-world problems. However, most algorithms struggle to efficiently find feasible solutions when ...
Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...
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