3 papers
cs.NE2023
AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems
Alexandre Mascarenhas, Yuri Lavinas, Claus Aranha
Dynamic Optimization Problems (DOPs) are characterized by changes in the fitness landscape that can occur at any time and are common in real world applications. The main issues to…
cs.NE2023
Multiobjective Evolutionary Component Effect on Algorithm behavior
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa +1
The performance of multiobjective evolutionary algorithms (MOEAs) varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simpli…
cs.NE2021
Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition
Yuri Lavinas, Marcelo Ladeira, Claus Aranha
The Resource Allocation approach (RA) improves the performance of MOEA/D by maintaining a big population and updating few solutions each generation. However, most of the studies on…