23 citations · 69 across the 6 of their papers we have counts for
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cs.NE2020★ 3 cited
The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization
Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães +1
We propose the cone epsilon-dominance approach to improve convergence and diversity in multiobjective evolutionary algorithms (MOEAs). A cone-eps-MOEA is presented and compared wit…
cs.AI2020★ 3 cited
MOEA/D with Random Partial Update Strategy
Yuri Lavinas, Claus Aranha, Marcelo Ladeira +1
Recent studies on resource allocation suggest that some subproblems are more important than others in the context of the MOEA/D, and that focusing on the most relevant ones can con…