Logistics Department, Logistical Engineering University
Abstract
Currently, the research of 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 matheuristic 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 matheuristic algorithm (MBPSO) is proposed to solve the problem. In MBPSO, appropriate degradation mechanism and parallel global search structure is designed. Through a instance, MBPSO has capability of global optimuml search and fast convergence property for hybrid integer programming model with multi-constrained and weighted single objective.
Jiang, D., & Qi, L. (2016). A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network. International Journal of Engineering, 29(3), 359-367.
MLA
DaLi Jiang; Lei Qi. "A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network". International Journal of Engineering, 29, 3, 2016, 359-367.
HARVARD
Jiang, D., Qi, L. (2016). 'A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network', International Journal of Engineering, 29(3), pp. 359-367.
VANCOUVER
Jiang, D., Qi, L. A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network. International Journal of Engineering, 2016; 29(3): 359-367.