Immune Particle Swarm Optimization Research and Application for Truck Transportation Scheduling System of Strip Mine Under Fuzzy Environment
The strip mine truck transportation scheduling system is of uncertainty attribute which is involved to fuzzy parametric problem such as transportation path, production process and shoveling-transportation-crashing equipment under environment. Because of fuzzy programming depending on complex degree of member function of fuzzy coefficient, it cannot to be solved through transforming clear math programming problem, anymore, it is difficult to get optimal solution with the classics optimization algorithm. This parper has constructed immune particle swarm optimization algorithm by integration of excellent performance of immune algorithm and particle swarm optimization algorithm, thenafter, it is set up corresponding fuzzy programming model by its uncertainty attribute parametric of truck transportation shceduling system and fuzzy judgment decision criteria, finally, optimization problem of transportation scheduling system under fuzzy environment is to be solved well. It is not only to solved effectively optimization problem of truck transportation scheduling system under fuzzy environment, but also it provides important reference value for optimization and decision-making problem of other complex system.
transportation scheduling system immune particle swarm optimization stip mine fuzzy environment.
DAI Jianyong Zhou Shuliang DING Dexin CHEN Jiahua LIU Bing
School of Nuclear Resource and Security Engineering, University of South China, Hengyang 421001, Hun Research Center of Nuclear Energy Economic and Management, University of South China, Hengyang 42100 School of Nuclear Resource and Security Engineering, University of South China, Hengyang 421001, Hun
国际会议
The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)
河南焦作
英文
927-932
2007-04-17（万方平台首次上网日期，不代表论文的发表时间）