کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
388374 | 660922 | 2007 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A multi-parametric evolution strategies algorithm for vehicle routing problems A multi-parametric evolution strategies algorithm for vehicle routing problems](/preview/png/388374.png)
Vehicle routing problems are at the heart of most decision support systems for real-life distribution problems. In vehicle routing problem a set of routes must be determined at lowest total cost for a number of resources (i.e. fleet of vehicles) located at one or several points (e.g. depots, warehouses) in order to efficiently service a number of demand or supply points. In this paper an efficient evolution strategies algorithm is developed for both capacitated vehicle routing problem and for vehicle routing problem with time window constraints. The algorithm is based on a new multi-parametric mutation procedure that is applied within the 1 + 1 evolution strategies algorithm. Computational testing on six real-life problems and 195 benchmark problems demonstrate that the suggested algorithm is efficient and highly competitive, improving or matching the current best-known solution in 42% of the test cases.
Journal: Expert Systems with Applications - Volume 32, Issue 2, February 2007, Pages 508–517