This paper uses particle swarm optimization (PSO) algorithm to solve CVRP vehicle routing prob
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中文说明：
采用微粒群(PSO)算法求解CVRP“车辆路径问题”的代码，对于中小规模算例能有很快的速度，对于大规模问题则效率偏低。文件包内附国际常用算例十余个。
English Description：
Using particle swarm optimization (PSO) algorithm to solve CVRP "vehicle routing problem" code, for small and medium-sized cases can be very fast, for large-scale problems, the efficiency is low. The package contains more than ten international calculation examples.
CVRP-N/A-n32-k5.mat
CVRP-N/A-n33-k5.mat
CVRP-N/A-n45-k7.mat
CVRP-N/A-n46-k7.mat
CVRP-N/B-n31-k5.mat
CVRP-N/B-n35-k5.mat
CVRP-N/B-n45-k5.mat
CVRP-N/B-n45-k6.mat
CVRP-N/CalculateAgent.m
CVRP-N/E-n101-k14.mat
CVRP-N/E-n101-k8.mat
CVRP-N/E-n22-k4.mat
CVRP-N/E-n30-k3.mat
CVRP-N/E-n33-k4.mat
CVRP-N/E-n51-k5.mat
CVRP-N/E-n76-k7.mat
CVRP-N/E-n76-k8.mat
CVRP-N/GPSOoption.m
CVRP-N/GTSPN.m
CVRP-N/GTSPN.p
CVRP-N/Main.m
CVRP-N/MakeNodeDate.m
CVRP-N/multiOX.m
CVRP-N/MyExchange.m
CVRP-N/MyInsert.m
CVRP-N/Mysel.m
CVRP-N/Opt.m
CVRP-N/total_length_of_cycle.m
CVRP-N