Abstract: Production processes are inherently complex, often involving multiple production phases from raw materials to finished products, making joint scheduling problems a focal point of research.
Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
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