| contributor author | Víctor Yepes | |
| contributor author | Josep Medina | |
| date accessioned | 2017-05-08T21:04:48Z | |
| date available | 2017-05-08T21:04:48Z | |
| date copyright | April 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290733-947x%282006%29132%3A4%28303%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/37865 | |
| description abstract | A three-step local search algorithm based on a probabilistic variable neighborhood search is presented for the vehicle routing problem with a heterogeneous fleet of vehicles and soft time windows (VRPHESTW). A generation mechanism based on a greedy randomized adaptive search procedure, a diversification procedure using an extinctive selection evolution strategy, and a postoptimization method based on a threshold algorithm with restarts are considered to solve the problem. The results show the convenience of using an economic objective function to analyze the influence of the changes in the economic environment on the transportation average profit of vehicle routing problems. Near real-world vehicle routing problems need (1) an economic objective function to measure the quality of the solutions as well as (2) an appropriate guide function, which may be different from the economic objective function, for each heuristic method and for each economic scenario. | |
| publisher | American Society of Civil Engineers | |
| title | Economic Heuristic Optimization for Heterogeneous Fleet VRPHESTW | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 4 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)0733-947X(2006)132:4(303) | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2006:;Volume ( 132 ):;issue: 004 | |
| contenttype | Fulltext | |
