Knowledge-driven flexible discrete manufacturing production scheduling optimization method
A knowledge-driven, production-scheduling technology, applied in manufacturing computing systems, control/adjustment systems, program control, etc., can solve problems such as increased complexity of batch machines, increased difficulty in mathematical modeling, and time constraints for special processes, achieving Enhanced local search capabilities, solving batch production and scheduling problems, high efficiency and robustness effects
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[0076] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.
[0077] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0078] The hybrid particle swarm optimization algorithm is used to solve the model, the block integration decoding rule is proposed, and the discrete and continuo...
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