The sequential ordering problem is a version of the asymmetric traveling salesman problem where precedence constraints on vertices are imposed. A tour is feasible if these constraints are respected, and the objective is to find a feasible solution with minimum cost. The sequential ordering problem models a lot of real world applications, mainly in the fields of transportation and production planning. In this paper we propose an extension of a well known ant colony system for the problem, aiming at making the approach more efficient on large problems. The extension is based on a problem manipulation technique that heuristically reduces the search space. Computational results, where the extended ant colony system is compared to the original one, are presented

Ant colony systems for large sequential ordering problems / Montemanni, Roberto; Smith Derek, H; Gambardella Luca, Maria. - (2007), pp. 60-67. ((Intervento presentato al convegno IEEE SIS 2007 tenutosi a Honolulu, USA nel April 2007.

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