Green production scheduling of hybrid flow shop considering transportation time
Aiming at the influence of transportation time on green production scheduling of mixed flow workshop,the maximum completion time,production energy consumption and production cost were taken as optimization objectives.An Improved Multi-Objective Sparrow Search Algorithm(IMOSSA)was proposed to solve the problem.The fitness values of the population were di-vided by reference to non-dominated ordering,the quality of the solution set was improved by introducing sine-cosine strategy,and the convergence speed and global search ability of the solution set were improved by adding polynomial mutation operators and Levy flight,so as to avoid falling into local optimality.Then 16 test examples were designed to compare IMOSSA with other multi-objective optimization algorithms to verify the superiority of IMOSSA solution.Finally,taking an actual production workshop as an example,the production scheduling was divided into four modes to prove the practicability of the algorithm.
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