144 citations · 175 across the 16 of their papers we have counts for
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cs.AI2020
Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations
Felipe Vaz, Yuri Lavinas, Claus Aranha +1
Finding good solutions for Multi-objective Optimization (MOPs) Problems is considered a hard problem, especially when considering MOPs with constraints. Thus, most of the works in…
cs.NE2020★ 2 cited
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…
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…