Immune Particle Swarm Optimization Research and Application for Truck Transportation Scheduling System of Strip Mine Under Fuzzy Environment

摘要

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.