Developed by Professor Sam Kriegman, AI-designed metamachines can run in the wild, recover from damage, and transform into new shapes.
Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
Abstract: Existing constrained multiobjective evolutionary algorithms (CMOEAs) frequently employ the information provided by the unconstrained Pareto front (UPF) to facilitate the identification of ...
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