Research on Multi-Objective Optimization for Circulation Material Construction Plan in Large-Scale Infrastructure
Based on the discrete event simulation theory and multi-objective optimization model,combined with an actual project case,the feasible circulation material construction plan is optimized in terms of"time limit-cost"using an intelligent optimization algorithm.The construction process of circulation materials is abstracted logically,and the construction process is decomposed and discretized to create a discrete simulation model.Parameterization of the construction is realized,and all the feasible construction plans are formed automatically.The particle swarm algorithm for the multi-objective optimization model is selected.In case studies,863341 plans are discussed,and plan optimization in terms of"time limit-cost"uses the particle swarm algorithm.Comparing the results with the traditional plans proves the superiority of the optimized plan.This research innovatively introduces discrete event simulation theory and multi-objective optimization theory to solve specific problems in circulation material construction plans in large-scale infrastructure,providing a new methodological basis for management decision-making.
NETL
NSTL
万方数据
