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Considering the transportation network affected by the factors like weather and traffic conditions, a multi-objective fourth party logistics routing problem on the time varying networks is proposed. Under the assumption that the transportation cost and time of the Third Party Logistics (3PL) suppliers is dependent on the departure time. The mathematic program model is built. A genetic algorithm is...
Ant colony algorithm is a kind of novel simulation-biological evolution algorithm. An improved ant colony algorithm was utilized to solve the vehicle routing problem in emergency logistics. Genetic algorithm was utilized to optimize the parameters of ant colony algorithm. The algorithm possesses some characteristics such as strong total researching ability. The experimental results show that the improved...
With the rapid development of logistics transportation, the number of high-level orderpickers in the warehouse is increasing day by day. In order to improve order picking efficiency, a mathematical model of this optimization problem is constructed according to characteristics of order picking of the high level orderpicker in a rectangular warehouse. To solve the model, G-A (Genetic-Ant colony) algorithm...
Logistics traffic scheduling is a key job for logistics activity, but there are some weak points, e.g. local optimum, premature convergence and slow convergence while we employ the traditional genetic algorithm to analyze that problem. Therefore, we need to improve the genetic algorithm to solve the vehicle routing problem. This paper builds up a mathematical model for the traffic scheduling problems...
In recent years, logistics distribution vehicle routing problem is a hot topic in logistics research. It is a NP problem and hard to get an optimal and satisfactory solution. The paper introduces removing-addition operator and excellent individual memory mechanism to the traditional genetic algorithm, so that the improved genetic algorithm can kee excellent individuals and maintain the population...
The mathematical model of multi-enterprise allied open vehicle routing problem(MEAOVRP) is proposed in this paper, and then the coding and genetic operator based on a two-dimensional structure are put forward. At last, the genetic algorithm is verified to effectively optimize the MEAOVRP with an example.
With the development of the market economy and improvement of logistics technology professional level, logistics and distribution industry get rapid development. The logistics distribution is a complicated system engineering, which many optimization problems established models and algorithms are very complex, and mostly models and algorithms have NP-hard properties. The paper proceeds theoretical...
The Vehicle Routing Problem (VRP) is of considerable economic significance in logistic systems as it manages the distribution of goods to make an efficient transportation system. Considering a practical application, this paper solves a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modeled as a stochastic variable as opposed to conventional VRP. To deal...
The logistics distribution routing optimization is a very active domain. In view of the characteristics of the logistics distribution routing, it was discussed the routing optimization by the immune genetic algorithm. In this paper, the mathematical model was established, and the immune genetic algorithm was constructed for solving the optimization of the logistics distribution routing problem. Then...
This paper presents a hybrid heuristic algorithm for large scale multiple depots vehicle routing problem (MDVRP) in relief work which combined genetic algorithm with ant systems and simulated annealing algorithm. The main idea of this new algorithm is a feedback loop. Using the best result of genetic algorithm to improve ant colony system and feed the best solution of ant system back to genetic algorithm...
The cost function of medicine logistics distribution routing was constructed. Genetic algorithm possesses the ability to solve multi-object problem. Genetic algorithm was utilized to optimize the constraint cost function. Simulation result shows that the genetic algorithm possesses the better optimization quantity and effect in the medicine logistics distribution routing.
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