65 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade Federal de Minas GeraisBR12 papers
- Universidade Federal de ViçosaBR6 papers
- Universidade Federal de Ouro PretoBR3 papers
- Concordia UniversityCA2 papers
- Universidade Federal de LavrasBR2 papers
- Aston UniversityGB1 paper
- Brazilian Center for Research in Energy and MaterialsBR1 paper
- Brazilian Society of Computational and Applied MathematicsBR1 paper
- Brazilian Synchrotron Light LaboratoryBR1 paper
- Centro Brasileiro de Pesquisas FísicasBR1 paper
- Federal Center for Technological Education of Minas GeraisBR1 paper
- Federal University of São João del-ReiBR1 paper
Showing cs.NEShow all
2 papers · 1 filter
cs.NE2025
Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
Gustavo V. Nascimento, Ivan R. Meneghini, Valéria Santos +2
Multi-objective evolutionary algorithms (MOEAs) are essential for solving complex optimization problems, such as the diet problem, where balancing conflicting objectives, like cost…
cs.NE2020★ 33 cited
Scalable and Customizable Benchmark Problems for Many-Objective Optimization
Ivan Reinaldo Meneghini, Marcos Antonio Alves, António Gaspar-Cunha +1
Solving many-objective problems (MaOPs) is still a significant challenge in the multi-objective optimization (MOO) field. One way to measure algorithm performance is through the us…