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The location problem of logistics center is the key process of logistics distribution, in order to improve the accuracy of the location of logistics center, this paper according to the parallelism and characteristics of global optimization of genetic algorithm. A method based on genetic algorithm is proposed to solve the problem of logistics center location, and set up with the minimum total cost...
In order to improve the manufacturing efficiency and reduce the logistics cost of the automobile shop, this paper adopts the method of system layout planning (SLP) to optimize the layout of automobile body shop. We firstly analyze the characteristics of the automobile body shop and then establish a multi-objective programming model minimizing the material handling costs and maximizing the degree of...
When vehicle path is performing express distribution for various branches in distribution center, we adopt simultaneous service of distribution strategy between express delivery and collection. It assumes that vehicles follow normal distribution of travel time among each point. Under condition that distribution branches have soft time window restriction and express delivery collection quantity follows...
This paper optimized the logistics network configuration of fresh agricultural products, consisting of original points, pre-cooling stations, distribution centers and demand points. Considering the time-sensitive features of fresh agricultural products and their empirical decay index, a nonlinear programming model was established. The objective is to minimize overall cost related to the logistics...
The logistics distribution problem, which is typically represented as the capacitated vehicle routing problem (CVRP), is a very important issue in logistics. Thus, this paper considers the CVRP with fuzzy demand (CVRPFD). As an NP-hard problem, many researches in CVRP apply meta-heuristic method rather than exact method. A hybrid genetic algorithm (GA) and ant colony optimization (ACO) is proposed...
Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm,...
Online social networks have become an effective channel for influencing millions of users by facilitating exchange and spread of information. Despite recent works on modeling information diffusion in social networks, the complexity of social interactions makes quantification of any spreading phenomenon in social networks a challenging task. Most of the research in this area rely on empirical or statistical...
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...
The disaster emergency relief plays a vital role in reducing casualties and economic losses. Emergency logistics scheduling (ELS) aims at dispatching emergency resources to the victims of disasters, which is an important event of disaster relief. In this paper, a model for ELS in disaster relief is built that includes several suppliers with a variety of resources, several kinds of vehicles, and multiple...
A mathematical model and a genetic algorithm are proposed to solve a logistics network optimization problem. Combined with the characteristics of urban logistics and e-commerce, the sum of transportation costs, construction costs and maintenance costs are considered in the model to describe the total logistics cost in the network. Since the model is an NP problem, the genetic algorithm is used to...
Analog designers are challenged by increasingly complex device models and lowered signal swing as the CMOS processes scale. At the same time, new trends and emerging technologies pose tighter design constraints. However, the cheap computational resources nowadays enable the use of the mature electrical simulators and device models in simulation-in-a-loop optimization techniques. In this work, we present...
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...
This paper analyzes the logistics mode present situation of Erdos mining area, proposes the “delivery - to take coal” two-way transportation mode, designs the improved genetic algorithm for the problem, establishes the mines VRP - SDP problem mathematical model, uses MATLAB software programming and simulation run, obtains the optimal solution of the problem.
We consider a distribution network design problem where the decision maker needs to decide the sites of perishable agricultural product distribution centers. Each distribution center has sufficient capacity for the consumer zones it serves, and each consumer zone accepts the products only from one distribution center. The objective is to minimize the total cost that includes location costs and inventory...
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...
S-shaped curves , such as bass model, Logistic model and Gomperz model, have been used widely for the diffusion curve of a new product or service in the field of innovation diffusion, and however, which is better to fit the datasets of mobile subscribers or Internet subscribers in China, the answers of all the scholars are different. To compare the techniques for their estimating the parameters these...
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...
In this paper, we present a Multi-Colony Diploid Genetic Algorithm (MCDGA) for Flexible Job-Scheduling Problem (FJSP), a simulation model is presented to solve the FJSP. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by a representative instances based on practical data. The result obtained...
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.
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