This paper describes a new heuristic for the well-known Undirected Rural Postman Problem. It consists of two steps: it first constructs a partial solution using the Ant Colony Optimization metaheuristic, and the remaining required edges are then gradually inserted. Computational results on a set of benchmark instances are presented and comparisons with alternative heuristics are performed. The optimality gap is also computed by running a branch-and-cut algorithm

An Ant Colony Optimization Metaheuristic for the Undirected Rural Postman Problem / Lagana', Demetrio; Laporte, Gilbert; Mari, Francesco; Musmanno, Roberto; Pisacane, Ornella. - ELETTRONICO. - (2007), pp. 1-16.

An Ant Colony Optimization Metaheuristic for the Undirected Rural Postman Problem

Ornella Pisacane
2007-01-01

Abstract

This paper describes a new heuristic for the well-known Undirected Rural Postman Problem. It consists of two steps: it first constructs a partial solution using the Ant Colony Optimization metaheuristic, and the remaining required edges are then gradually inserted. Computational results on a set of benchmark instances are presented and comparisons with alternative heuristics are performed. The optimality gap is also computed by running a branch-and-cut algorithm
2007
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/253236
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