In this paper, we present a favorable weight-based evolutionary algorithm for multiple criteria problems. The algorithm tries to both approximate the Pareto frontier and evenly distribute the ...

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Artificial intelligence (AI)-powered algorithms to analyze data collected on a smartphone app could predict whether a person with multiple sclerosis (MS) will experience certain high-severity ...

A Deep Reinforcement Learning Method for Multiple AGV Path Planning Based on MATD3 Algorithm. ... Finally, experimental results demonstrate that the proposed HA-MATD3 algorithm is effective in solving ...

The multiple longest common subsequence (MLCS) problem, which is related to the measurement of sequence similarity, is one of the fundamental problems in many fields. As an NP-hard problem, finding a ...

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