FRCU - GIICIS: Grupo de Investigación en Inteligencia Computacional e Ingeniería de Software

Permanent URI for this communityhttp://48.217.138.120/handle/20.500.12272/4094

Browse

Filters

20191

Settings

Author: search.filters.author.Pereyra Rausch, Fernando NahuelSubject: search.filters.subject.Software engineering

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Fuzzy bi-objective particle swarm optimization for next release poblem
    (2019-07-10) Casanova Pietroboni, Carlos Antonio; Rottoli, Giovanni Daián; Schab, Esteban Alejandro; Bracco, Luciano Joaquín; Pereyra Rausch, Fernando Nahuel; De Battista, Anabella Cecilia
    In search-based software engineering (SBSE), software engineers usually have to select one among many quasi-optimal solutions with different values for the objectives of interest for a particular problem domain. Because of this, a metaheuristic algorithm is needed to explore a larger extension of the Pareto optimal front to provide a bigger set of possible solutions. In this regard the Fuzzy Multi-Objective Particle Swarm Optimization (FMOPSO), a novel a posteriori algorithm, is proposed in this paper and compared with other state-of-the-art algorithms. The results show that FMOPSO is adequate for finding very detailed Pareto Fronts.