The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In order to solve the multi-robot task allocation problem in logistics warehouse environment, first a robot task allocation model is established in which a corresponding benefit function is established with a consideration of two mainly factors including time window and distance. Then the ant colony algorithm pheromone updating rule is improved combining with working environment and task allocation...
A number of materials are delivered inside a hospital, and a fleet of autonomous navigating mobile robots are applied to replace these heavy mobility works. To increase the efficiency of using multiple robots, more than one delivery tasks can be assigned to a robot instead of delivering only one package at a time. This multi-task allocation algorithm (MTA) is introduced in this paper and a simulator...
Datacenter networks suffer unpredictable performance due to a lack of application level bandwidth guarantees. A lot of attentions have been drawn to solve this problem such as how to provide bandwidth guarantees for Virtualized Machines (VMs), proportional bandwidth share among tenants, and high network utilization under peak traffic. However, existing solutions fail to cope with highly dynamic traffic...
Because of the sharply increasing relief demands in emergency, people pay more attention to the efficiency of the transportation of relief resources. The study uses the bi-level programming location model based on the demand assigning in emergency to analyze the game behavior between the government and the people in disaster areas in the emergency. Since the logistics systems is different from the...
In this paper, we propose a variant of the QAP-based facility layout problem: the exclusion facility layout problem (EFLP). Based on Ant Colony algorithm, we design the modified ant algorithm for solving the facility layout problem (FLP). In addition, we also design the ant algorithm for EFLP by increasing the operator of making solution feasible. Analyze the impact of the different parameters values...
This paper introduced an adaptive immune optimization algorithm (IOA) for allocation optimization of distribution centers (DC). First, aiming the distribution centers allocation problem, among customers and their serving centers, on the basis of characteristics and demands of optimization for the total transport costs and time, a mathematical model for this optimization problem has been built. Then,...
This paper introduced an adaptive immune optimization algorithm for allocation optimization of distribution centers. With the characteristics and demands of allocations of distribution centers, a mathematics model has been made on DC allocations problems on the basis of the optimization of the total transport costs and time among customers and their serving centers. An adaptive-immune optimization...
In order to enhance the supporting capacity of military logistics distribution system under attack, according to its characteristic multiple covering, a model was designed for allocating limited protection resources to q of p existing facilities. The model was formulated in a bilevel programming, whose upper level maximized the extent of protected facilities covering customers when enemy destroyed...
The essence of the logistics network design problems is to determine the location of the facility and the allocation of the demands of customers, which under the condition of the minimum of the cost. Based on the standard simulated annealing algorithm, an all-purpose combined simulated annealing algorithm(CSA) is presented for the logistics network design problem. The CSA is divided into two layers...
This paper is aimed to solve the multi-facility location problems of distribution centers by multi-objective decision method. After analyzing the requirements and characteristics of distribution time, it put forward a multi-facility location model in which the distribution cost was taken as decision objective and the distribution time was changed to a group of constrains. It designed a bi-step heuristics...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.