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Vehicle Routing Problem (VRP) is an important class of scheduling optimization problems in the supply chain management. Vehicle Routing Problem with Time Windows (VRPTW) is an extension of VRP and involves the setoff of a fleet of vehicles from a depot to serve a number of customers at different geographic locations for within specific time windows before returning to the depot eventually. This study...
Location-routing problem (LRP) is a combinational optimization problem in a logistics system. Most heuristic methods employed for LRP is dividing the problem into location assignment and vehicle routing with a two-phase method, but this method often does not lead to a satisfactory result for the information can not be compressed from one phase to the other efficiently. In this paper we are concerned...
In this paper, the vehicle routing problem with fuzzy demands is considered, and in view of vehicle routing problem of multi-vehicle single cart yard has uncertain demand, a multi-objection fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is given to solve the vehicle routing model. At the same time, the influence...
In order to satisfy with the individual and various demand of customer, establish vehicle scheduling with backhauls model. According to the characteristics of model, hybrid genetic heuristic algorithm is used to get the optimization solution. First of all, use natural number coding so as to simplify the problem; retain the best selection so as to guard the diversity of group. Improved ordinal crossover...
The vehicle routing problem with simultaneous pickup and delivery is an important variation of VRP where customers require simultaneous pickup and delivery service. In this paper, we proposed a hybrid genetic algorithm to solve this problem. In the proposed algorithm, we proposed a pheromone-based crossover operator that utilizes both the local and global information to construct offspring. The local...
In order to satisfy with the individual and various demand of customer, establish multi-type vehicles vehicle scheduling with picking-delivery model. According to the characteristics of model, hybrid genetic algorithm is used to get the optimization solution. First of all, use natural number coding so as to simplify the problem; use the individual amount control choice strategy so as to guarantee...
The vehicle routing problem of logistics distribution is indispensability contents in logistics distribution optimization. In order to satisfy with the individual and various demand of customer, establish single and mixed fleet multi-depot vehicle routing problem with backhauls model. According to the characteristics of model, hybrid genetic algorithm is used to get the optimization solution. First...
In this paper, the multiple-depot vehicle routing problem with fuzzy demands is considered, on the basis of uncertain demand of multiple-depot vehicle routing problem, a fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is used to solve the vehicle routing model. In genetic algorithm, a new code is given, and...
The Multi-Depot Vehicle Routing Problem with time-dependent and fuzzy travel time is very difficult to solve to optimality even for relatively small size instances. So few or no literatures have focused on the problem so far. But it is very close to real world and can make the schedule more availability and more flexible. So this paper focuses on modeling and solution of the problem. A model of MDVRPTW...
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