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Main Author: Yasel José Costa-Salas
Format: Artículo científico
Language:en
Published: Universidad Nacional de Colombia 2014
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=49631663038
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author Yasel José Costa-Salas
author_facet Yasel José Costa-Salas
contents An alternative solution for the repair of electrical breakdowns after natural disasters based on ant colony optimization Yasel José Costa-Salas William Ariel Sarache-Castro Ingeniería Ant Algorithms electrical breakdowns multiple traveling salesman problem Abundant literature is available for the route planning based on meta-heuristic algorithms. However, most researches in this field are developed under normal scenarios (e.g. normal weather conditions). The natural disasters, such as hurricanes, on the contrary, impose hard constraints to these combinatorial problems. In this paper, a route-planning problem is solved, specifically, for the repair of electrical breakdowns that occur after natural disasters. The problem is modeled using an assignment-based integer programming formulation proposed for the Multiple Traveling Salesman Problem (mTSP). Moreover, this paper proposes the creative application of an algorithm based on Ant Colony Optimization (ACO), specifically Multi-type Ant Colony System (M-ACS), where each colony represents a set of possible global solutions. Ants cooperate and compete by means of “frequent” pheromone exchanges aimed to find a solution. The algorithm performance has been compared against other ACO variant, showing the efficacy of the proposed algorithm on realistic decision-making. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631663038 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.186 Vol.81
format Artículo científico
id redalyc_49631663038
language en
publishDate 2014
publisher Universidad Nacional de Colombia
spellingShingle An alternative solution for the repair of electrical breakdowns after natural disasters based on ant colony optimization
Yasel José Costa-Salas
Ingeniería
Ant Algorithms
electrical breakdowns
multiple traveling salesman problem
An alternative solution for the repair of electrical breakdowns after natural disasters based on ant colony optimization Yasel José Costa-Salas William Ariel Sarache-Castro Ingeniería Ant Algorithms electrical breakdowns multiple traveling salesman problem Abundant literature is available for the route planning based on meta-heuristic algorithms. However, most researches in this field are developed under normal scenarios (e.g. normal weather conditions). The natural disasters, such as hurricanes, on the contrary, impose hard constraints to these combinatorial problems. In this paper, a route-planning problem is solved, specifically, for the repair of electrical breakdowns that occur after natural disasters. The problem is modeled using an assignment-based integer programming formulation proposed for the Multiple Traveling Salesman Problem (mTSP). Moreover, this paper proposes the creative application of an algorithm based on Ant Colony Optimization (ACO), specifically Multi-type Ant Colony System (M-ACS), where each colony represents a set of possible global solutions. Ants cooperate and compete by means of “frequent” pheromone exchanges aimed to find a solution. The algorithm performance has been compared against other ACO variant, showing the efficacy of the proposed algorithm on realistic decision-making. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631663038 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.186 Vol.81
title An alternative solution for the repair of electrical breakdowns after natural disasters based on ant colony optimization
topic Ingeniería
Ant Algorithms
electrical breakdowns
multiple traveling salesman problem
url https://www.redalyc.org/articulo.oa?id=49631663038