• A review on the ant colony optimization metaheuristic: basis, models and new trends 

      Cordón García, Oscar; Herrera Triguero, Francisco; Stützle, Thomas (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2002)
      Article
      Accés obert
      Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration ...
    • Ant colony optimization: models and applications [Guest editorial] 

      Cordón García, Oscar; Herrera Triguero, Francisco; Stützle, Thomas (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2002)
      Ressenya
      Accés obert
      Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the shortest path searching behavior of various ant species [1,2]. The initial work of Dorigo, Maniezzo and Colorni [3,4] who proposed the first ACO ...
    • Experiments writh variants of ant algorithms 

      Stützle, Thomas; Linke, Sebastian (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2002)
      Article
      Accés obert
      A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were proposed in the literature. These extensions typically achieve much improved computational results when compared to the ...
    • Large neighbourhood search algorithms for the founder sequence reconstruction problem 

      Roli, Andrea; Benedettini, Stefano; Stützle, Thomas; Blum, Christian (2012-02)
      Article
      Accés restringit per política de l'editorial
      The reconstruction of founder genetic sequences of a population is a relevant issue in evolutionary biology research. The problem consists in finding a biologically plausible set of genetic sequences (founders), which can ...