作者: Christian Prins , Caroline Prodhon , Roberto Wolfler Calvo
DOI: 10.1007/S10288-006-0001-9
关键词: Upper and lower bounds 、 Heuristic 、 Heuristics 、 Path (graph theory) 、 Process (computing) 、 GRASP 、 Routing (electronic design automation) 、 Metaheuristic 、 Mathematics 、 Mathematical optimization
摘要: As shown in recent researches, the costs distribution systems may be excessive if routes are ignored when locating depots. The location routing problem (LRP) overcomes this drawback by simultaneously tackling and decisions. This paper presents a new metaheuristic to solve LRP with capacitated A first phase executes GRASP, based on an extended randomized version of Clarke Wright algorithm. is implemented learning process choice In second phase, solutions generated post-optimization using path relinking. method evaluated sets randomly instances, compared other heuristics lower bound. Solutions obtained reasonable amount time for such strategic problem. Furthermore, algorithm competitive published case uncapacitated