
The present study is focused on the Capacitated Vehicle Routing Problem (CVRP). Genetic algorithm is used to get the optimization solution. First of all, use natural number coding so as to simplify the problem; apply insertion method so as to improve the feasibility; retain the best selection so as to guard the diversity of group; adopt 2- exchange mutation operator to strengthen the partial searching ability of chromosome. Secondly, the improved route crossover operation can avoid destroying good gene parts. Finally, the good performance of improved algorithm can be proved by experiment calculation and concrete examples.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
