Improved sparrow search optimization method for blocking flow shop scheduling problem
A technology of workshop scheduling and optimization methods, applied in the direction of instruments, manufacturing computing systems, computing models, etc., can solve the problems that algorithms are easy to fall into local optimum, population diversity reduction, etc., to overcome easy to fall into local optimum and avoid population diversity The effect of reducing the property and speeding up the convergence speed
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[0084] Below in conjunction with accompanying drawing and embodiment the present invention is described in further detail:
[0085] Such as figure 1 As shown, an improved sparrow search optimization method for the blocking flow shop scheduling problem, according to the characteristics of the blocking flow shop problem, solves the blocking flow shop scheduling problem with the goal of minimizing the completion time. This method combines the cooperative initialization population, multi-subgroup The dynamic learning strategy, elite solution set, and local strengthening strategy are integrated into the sparrow search algorithm to optimize the scheduling problem of the blocked flow shop.
[0086] The present invention adopts integer-real number mixed coding mode to encode sparrow individual and workpiece production sequence; uses a new cooperative initialization strategy to initialize sparrow individual position; divides sparrow population into multiple subgroups to learn from each...
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