A factory floor is one of the least forgiving places: parts are cumbersome, bins are moved, there is change in light and one ...
Abstract: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...
Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) pose significant challenges due to shifting objectives and fragmented feasible regions. To address these, we propose DCEMOA, ...