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A hybrid genetic algorithm is proposed to solve a coordinated production and transportation problem. The problem considered is a mixed integer linear programming problem, which coordinates the production planning of finished products and intermediate products in a process industry, also consists of transportation between the facilities that produces intermediates and finished products. The results...
The Multi-objective Vehicle Routing Problem (MoVRP) is an important problem in the logistics distribution management, whose two objective functions are to minimize the global transportation cost and to maximize the average customer satisfaction. The mixed integer programming model of MoVRP is proposed in this paper. And a Hybrid Genetic Algorithm based on Human-Computer Interaction (HGAHCI) is presented...
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...
In order to solve the multiple supply chains design (MSCD) problem with two dimensional cooperation, a across-chain horizontal cooperation model with two supply chains is used in this paper. Through hybrid genetic algorithm and software tools Matlab & Lingo, the MSCD problem with two dimensional across-chain horizontal cooperation can be rationally solve. For illustration, a example test is utilized...
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...
This paper researches on the problem of searching for the reliable path for transportation networks. The reliable path finding problem is concerned with searching for the path with the maximum value of connectivity reliability. In view of the literature on travel time variations, the relationship between the mean travel time and its connectivity reliability is adopted in the proposed model. In order...
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...
Coordinating are one core problem of supply chain management research field. Supply chain integrated planning is one important measure to realize coordination between supply chain members. The state-of-the-art researches mainly emphasize on two-level supply chain architecture, but about multi-level one is still very lack. In the article the problem of integrated planning of three-level supply chain...
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...
Vehicle route problem of logistics distribution is the important step optimizing logistics distribution. According to the traditional genetic algorithm shortcomings of slowly convergent speed, weakly partial searching ability and easily premature, therefore, hybrid genetic algorithm is used to get the optimization solution, namely, use dualistic coding so as to simplify the problem and improve the...
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