Abstract: Global optimization among conflicting objectives in multi-objective model predictive control is a tedious and resource-consuming task. Although many previous approaches attempt to balance ...
Abstract: Balancing feasibility, convergence, and diversity is a fundamental challenge in constrained multi-objective optimization, particularly in landscapes with irregular or disconnected boundaries ...
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