Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) pose significant challenges due to shifting objectives and fragmented feasible regions. To address these, we propose DCEMOA, ...
Abstract: This article addresses the distributed aggregative optimization challenge in uncertain multiple Euler–Lagrange (EL) systems, where each EL agent’s local objective function depends on its own ...
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