A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network

Currently, the research on emergency supplies distribution and decision models mostly focus ondeterministic models and exact algorithm. A few of studies have been done on the multi-leveldistribution network and metaheuristic algorithm. In this paper, random processes theory is adopted toestablish emergency supplies distribution and decision model for multi-level network. By analyzing thecharacteristics of the model, a modified discrete particle swarm optimization metaheuristic algorithm(MBPSO) is proposed to solve the problem. In MBPSO, appropriate degradation mechanism andparallel global search structure is designed. MBPSO has capability of global optimum search and fastconvergence property for hybrid integer programming model with multi-constrained and weightedsingle objective.