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 algorithmI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.