1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.NE2023
Improved Solution Search Performance of Constrained MOEA/D Hybridizing Directional Mating and Local Mating
Masahiro Kanazaki, Takeharu Toyoda
In this study, we propose an improvement to the direct mating method, a constraint handling approach for multi-objective evolutionary algorithms, by hybridizing it with local matin…
cs.NE2022★ 1 cited
Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization
Yuji Takubo, Masahiro Kanazaki
An integrated optimization method based on the constrained multi-objective evolutionary algorithm (MOEA) and non-intrusive polynomial chaos expansion (PCE) is proposed, which solve…