RT Conference Proceedings
T1 An Improvement Study of the Decomposition-based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization
A1 Luque-Gallego, Mariano
A1 González-Gallardo, Sandra
A1 Ruiz-Mora, Ana Belén
A1 Saborido Infantes, Rubén
K1 Matemáticas
AB The convergence and the diversity of the decompositionbased evolutionary algorithm Global WASF-GA (GWASF-GA) relieson a set of weight vectors that determine the search directions for new non-dominated solutions in the objective space. Although using weight vectors whose search directions are widely distributed may lead to a well-diversified approximation of the Pareto front (PF), this may not be enough to obtain a good approximation for complicated PFs (discontinuous, non-convex, etc.). Thus, we propose to dynamically adjust the weight vectors once GWASF-GA has been run for a certain number of generations. This adjustment is aimed at re-calculating some of the weight vectors, so that search directions pointing to overcrowded regions of the PF are redirected toward parts with a lack of solutions that may be hard to be approximated. We test different parameters settings of the dynamic adjustment in optimization problems with three, five, and six objectives, concluding that GWASF-GA performs better when adjusting the weight vectors dynamically than without applying the adjustment.
YR 2018
FD 2018-10-30
LK https://hdl.handle.net/10630/16764
UL https://hdl.handle.net/10630/16764
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026