Jesús Sánchez-Oro , Anna Martínez-Gavara , Ana D. López-Sánchez , Rafael Martí , Abraham Duarte
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引用次数: 0
Abstract
In this paper, we propose a new heuristic method that hybridizes GRASP with Path Relinking to solve the conditional -Dispersion problem. Given elements, from which have been already selected, this problem seeks to select additional unselected elements to maximize the minimum dissimilarity among them. The conditional -dispersion problem models a facility location problem motivated by a real situation faced in many practical settings arising when some facilities have been already located. The algorithm includes a novel proposal based on an efficient interplay between search intensification and diversification provided by the Path Relinking component, and it also incorporates an intelligent way to measure the diversity among solutions. An extensive computational experimentation is carried out to compare the performance of our heuristic with the state of the art method. The comparison shows that our proposal is competitive with the existing method, since it is able to identify 17 best-known values. Additionally, our experimentation includes a real practical case solved for a Spanish company in its expansion process. This case illustrates both the applicability of the conditional -dispersion model, and the suitability of our algorithm to efficiently solve practical instances.
期刊介绍:
Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities.
Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.