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Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Abstract: As the complexity of tasks performed by multi DoFs robotic arms in domestic and industrial scenarios continues to increase, the performance requirements for trajectory planning algorithms ...

Overview: Quantum AI combines quantum computing with artificial intelligence to solve complex problems beyond the reach of ...