RT Journal Article
T1 Adaptive Global WASF-GA to Handle. Many-objective Optimization Problems
A1 Luque-Gallego, Mariano
A1 González-Gallardo, Sandra
A1 Saborido Infantes, Rubén
A1 Ruiz-Mora, Ana Belén
K1 Computación evolutiva
K1 Análisis vectorial
AB In this paper, a new version of the aggregation-based evolutionary algorithm Global WASF-GA (GWASF-GA) for many-objective optimization is proposed, called Adaptive Global WASF-GA (A-GWASF-GA). The fitness function of GWASF-GA is defined by an achievement scalarizing function (ASF) based on the Tchebychev distance, which considers two reference points (the nadir and utopian points) and a set of weight vectors. Despite of the benefits of using these two reference points simultaneously and a well-distributed set of weight vectors, it is necessary to go a step further to get better approximations in problems with complicated Pareto optimal fronts. For this, in A-GWASF-GA, some of the weight vectors are re-calculated during the optimization process based on the sparsity of the solutions found so far, and taking into account some theoretical results demonstrated in this paper regarding the ASF considered. Different strategies are carried out to accelerate the convergence and to maintain the diversity. The computational results, carried out in comparison with RVEA, NSGA-III, and different versions of MOEA/D, show the potential of A-GWASF-GA in well-known but also in novel many-objective optimization benchmark problems.
PB Elsevier
YR 2020
FD 2020
LK https://hdl.handle.net/10630/34307
UL https://hdl.handle.net/10630/34307
LA eng
NO Mariano Luque, Sandra Gonzalez-Gallardo, Rubén Saborido, Ana B. Ruiz, Adaptive Global WASF-GA to handle many-objective optimization problems, Swarm and Evolutionary Computation, Volume 54, 2020, 100644, ISSN 2210-6502, https://doi.org/10.1016/j.swevo.2020.100644
NO This work has been supported by the Spanish Ministry of Economy and Competitiveness (project ECO2017-88883-R) co-financed by FEDER funds, and by the Regional Government of Andalucía (PAI group SEJ-532). Rubén Saborido is a postdoctoral fellow at Concordia University (Canada). Sandra Gonzalez-Gallardo is recipient of a technical research contract within “Sistema Nacional de Garantía Juvenil y del Programa Operativo de Empleo Juvenil 2014-2020- Fondos FEDER” also acknowledges the training received from the University of Malaga PhD Programme in Economy and Business (Programa de Doctorado en Economía y Empresa de la Universidad de Málaga). Ana B. Ruiz is recipient of the postdoctoral fellowship “Captación de Talento para la Investigación” at the Universidad de Málaga (Spain).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026