Production Scheduling Oriented to Energy Consumption Optimization for Process Industry Based on Self-adaptive DE Algorithm

Abstract

Considering the production scheduling problem of processes industry and the disadvantages of conventional differential evolution algorithm, a method of production scheduling oriented to energy consumption optimization for process industry is proposed in this paper, which is based on self-adaptive differential evolution algorithm. Based on the analysis of production scheduling problems for processes industry, a production scheduling model is established, whose goal is to obtain the minimum of total process energy consumption. Since the basic differential evolution algorithm has the disadvantage that the search performance is very sensitive to the parameter settings, the self-adaptive control evolution strategy are used to control the parameters scale factor(F) and crossover probability(CR) to improve the global search ability and convergence speed. A practical production scheduling problem is taken as an example here, the established model and self-adaptive differential evolution algorithm are adopted to realize scheduling simulation with the minimum total process energy consumption. The simulation results show that the production scheduling method oriented to energy consumption optimization is superior to the production scheduling method oriented to process time optimization, and it can realize the goal of reducing energy consumption.