Traditional paper mill project management optimization is usually only aimed at a single goal,ignoring important aspects such as quality and safety.Therefore,a multi-objective optimization method for paper mill engineering is proposed in this paper,and Pareto-genetic algorithm,which combines Pareto sorting and genetic algorithm search mechanism,is used as the solution method to realize the optimal design of paper mill engineering supervision system.The research results show that when Schaffer's F6 Function is used for testing,the improved Pareto-genetic algorithm reaches the maximum fitness value of 0.93 after 72 iterations,which is better than the other two algorithms.The paper further decomposed the multi-objective problems of time limit,cost,quality and safety into two sub-problems,and successfully obtained three sets of Pareto optimal solutions,providing managers with optimization schemes under different needs.The optimized design scheme of paper mill engineering management system can improve the efficiency and safety of paper mill engineering management,and has important theoretical value and practical application prospect.
关键词
造纸厂/管理优化/Pareto排序/遗传算法
Key words
paper mill/management optimization/Pareto sort/genetic algorithm
万方数据