Adaptive genetic algorithm-based mixed flow shop sustainable scheduling control method
A genetic algorithm and continuous scheduling technology, applied in the field of sustainable scheduling control of mixed flow workshops, can solve problems such as shortages, and achieve the effect of improving automation level, improving efficiency, and simple algorithm process
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[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0045] Such as figure 1As shown, the present invention provides a hybrid flow shop sustainable scheduling control method based on an adaptive genetic algorithm, by establishing the sustainability goals and constraints of the mixed flow shop scheduling of the final process batch processing, and using an adaptive genetic algorithm to solve Scheduling model is optimized scheduling scheme to control workpiece machining process.
[0046] The method specifically includes the following steps:
[0047] Step 1), obtain workshop processing information, including the number of workpieces, proc...
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