A GPU-based genetic algorithm for the p-median problem

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15 صفحه اول

A Genetic Algorithm for the P-Median Problem

Facility-location problems have several applications in telecommunications, industrial transportation and distribution, etc. One of the most well-known facility-location problems is the p-median problem. This work addresses an application of the capacitated p-median problem to a real-world problem. We propose a genetic algorithm (GA) to solve the capacitated pmedian problem. The proposed GA use...

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A Genetic Algorithm For P-Median Location Problem

In this paper, we have proposed a new genetic algorithm for p-median location problem. In this regard, prior genetic algorithms were designed for p-median location problem by proposing several methods that are used in generation of initial population, crossover and mutation operators, and new operator socalled re-allocation has been incorporated into the algorithm that causes to find the optima...

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A Novel Hybrid Modified Binary Particle Swarm Optimization Algorithm for the Uncertain p-Median Location Problem

Here, we investigate the classical p-median location problem on a network in which the vertex weights and the distances between vertices are uncertain. We propose a programming model for the uncertain p-median location problem with tail value at risk objective. Then, we show that it is NP-hard. Therefore, a novel hybrid modified binary particle swarm optimization algorithm is presented to obtai...

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GPU-based parallel vertex substitution algorithm for the p-median problem

We introduce a GPU-based parallel Vertex Substitution (pVS) algorithm for the p-median problem using the CUDA architecture by NVIDIA. pVS is developed based on the best profit search algorithm, an implementation of Vertex Substitution (VS), that is shown to produce reliable solutions for p-median problems. In our approach, each candidate solution in the entire search space is allocated to a sep...

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ژورنال

عنوان ژورنال: The Journal of Supercomputing

سال: 2017

ISSN: 0920-8542,1573-0484

DOI: 10.1007/s11227-017-2006-x