Research on Multi-Objective Location-Routing Problem (MLRP) With Random Analysis for Regional Distribution
The location of the distribution facilities and the vehicles from these facilities are interdependent in many distribution systems. Such a concept recognizes the interdependence; attempts to integrate these two decisions have been limited. Multi-objective location-routing problem (MLRP) is combined the facility location and the vehicle routing decision and satisfied the different objectives. Due to the problem complexity, simultaneous solution methods are limited, which exits in different objectives with conflicts in functions satisfied. Two kinds of optimal mathematical models are proposed for the solution of MLRP. The three methods have been emphatically developed for MLRP. Multi-objective genetic algorithm (MGA) is introduced to solving MLRP based on Pareto. MGA architecture makes it possible to search the solution space efficiently, which provides a path for searching the solution with twoobjective LRP. At Last the practical prove is given by random analysis for regional distribution with nine cities.
multi-objective optimization location routing problem (LRP) exact algorithm heuristic systems reliability satisfactory solution Pareto solution genetic algorithm (CA) random analysis regional distribution
ZHANG Qian
School of Economics and Finance, HuaQiao University, Quanzhou, FuJian, 362021, P.R. China
国际会议
哈尔滨
英文
649-653
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）