Multi-objective Emergency Supplies Scheduling Based on Improved Particle Swarm Optimization
Yu Xiao-bing
Abstract：For the problem of emergency supply scheduling , it should minimize both transportation cost and time delay .A multi-objective optimization model is established for this problem .This model is conver-ted to a single objective model by using technique for order preference by similarity to ideal solution . Then, particle swarm optimization algorithm is designed to solve the problem by setting learning factor and inertia weight to linear and increasing local perturbation .With the help of an empirical analysis in combi-nation with the example , the algorithm is proved suitable and valid .This is an effective and reliable ap-proach for emergency supply scheduling .
Keywords：emergency managementsupply schedulingparticle swarm optimization
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 18-21,67 )