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 on deterministic models and exact algorithm. A few of studies have been done on the multi-level distribution network and metaheuristic algorithm. In this paper, random processes theory is adopted to establish emergency supplies distribution and decision model for multi-level network. By analyzing the characteristics of the model, a modified discrete particle swarm optimization metaheuristic algorithm (MBPSO) is proposed to solve the problem. In MBPSO, appropriate degradation mechanism and parallel global search structure is designed. MBPSO has capability of global optimum search and fast convergence property for hybrid integer programming model with multi-constrained and weighted single objective.