Clustering and Differential Evolution Algorithm for Solving Multi-objectives IPPS Problem

Abstract

Aiming at the multi-objective integrated process planning and scheduling problem with make span, tardiness and equipment load optimization objectives, building a multi-objective non-chain process planning integration model. Combined with the clustering algorithm, differential evolution algorithm and genetic algorithm operations, the diversity in the feasible solution space has been kept, the rapid updating of Pareto non-dominated solutions has been realized. Finally, the feasibility and superiority of the algorithm are verified by an example.