Large Neighborhood Search for the P-median Problem
نویسندگان
چکیده
In this paper we consider the well known p-median problem. We study the behavior of the local improvement algorithm with a new large neighborhood. Computational experiments on the difficult instances show that the algorithm with the neighborhood is fast and finds feasible solutions with small relative error.
منابع مشابه
A novel heuristic algorithm for capacitated vehicle routing problem
The vehicle routing problem with the capacity constraints was considered in this paper. It is quite difficult to achieve an optimal solution with traditional optimization methods by reason of the high computational complexity for large-scale problems. Consequently, new heuristic or metaheuristic approaches have been developed to solve this problem. In this paper, we constructed a new heuristic ...
متن کاملConsidering Production Planning in the Multi-period Inventory Routing Problem with Transshipment between Retailers
Generally, the inventory routing problem occurs in a supply chain where customers consider the supplier responsible for inventory replenishment. In this situation, the supplier finds the answer to questions regarding the time and quantity of delivery to the customer as well as the sequence of customers in the routes. Considering the effect of production decisions on answering these questions, t...
متن کاملInvestigating Zone Pricing in a Location-Routing Problem Using a Variable Neighborhood Search Algorithm
In this paper, we assume a firm tries to determine the optimal price, vehicle route and location of the depot in each zone to maximise its profit. Therefore, in this paper zone pricing is studied which contributes to the literature of location-routing problems (LRP). Zone pricing is one of the most important pricing policies that are prevalently used by many companies. The proposed problem is v...
متن کاملSolving the p-Center problem with Tabu Search and Variable Neighborhood Search
The p-Center problem consists of locating p facilities and assigning clients to them in order to minimize the maximum distance between a client and the facility to which he or she is allocated. In this paper, we present a basic Variable Neighborhood Search and two Tabu Search heuristics for the p-Center problem without the triangle inequality. Both proposed methods use the 1-interchange (or ver...
متن کاملData Clustering using Large p–Median Models and Primal–Dual Variable Neighborhood Search
Data clustering methods have been developed extensively in the data mining literature for detecting useful patterns in large datasets in the form of densely populated regions in a multi–dimensional Euclidean space. One of the challenges in dealing with these large databases is to obtain quality solutions within reasonable CPU time and memory requirements. Earlier partitioning methods such as PA...
متن کامل