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Fuzzy Bi-Objective Particle Swarm Optimization for Next Release Problem (S)

2019; Linguagem: Inglês

10.18293/seke2019-082

2325-9000

Carlos A. Casanova, Giovanni Daián Rottoli, Esteban Alejandro Schab, Luciano Joaquín Bracco, Fernando Pereyra Rausch, Anabella De Battista,

Robotic Path Planning Algorithms

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.