144 citations · 150 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
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…
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives
Yifan He, Claus Aranha, Tetsuya Sakurai
We introduce Knowledge-Driven Program Synthesis (KDPS) as a variant of the program synthesis task that requires the agent to solve a sequence of program synthesis problems. In KDPS…
MOEA/D with Adaptative Number of Weight Vectors
Yuri Lavinas, Abe Mitsu Teru, Yuta Kobayashi +1
The Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) is a popular algorithm for solving Multi-Objective Problems (MOPs). The main component of MOEA/D is to de…
Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight
Yifan He, Claus Aranha
Portfolio optimization is a financial task which requires the allocation of capital on a set of financial assets to achieve a better trade-off between return and risk. To solve thi…
Classification of EEG Signals using Genetic Programming for Feature Construction
Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira
The analysis of electroencephalogram (EEG) waves is of critical importance for the diagnosis of sleep disorders, such as sleep apnea and insomnia, besides that, seizures, epilepsy,…