Now showing items 1-4 of 4

  • 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
    Open Access
    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)
    Review
    Open Access
    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
    Open Access
    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
    Restricted access - publisher's policy
    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 ...