Search Results for author: Aluizio F. R. Araújo

Found 1 papers, 0 papers with code

MOEA/D with Uniformly Randomly Adaptive Weights

no code implementations15 Aug 2019 Lucas R. C. de Farias, Pedro H. M. Braga, Hansenclever F. Bassani, Aluizio F. R. Araújo

In this paper, we propose the MOEA/D with Uniformly Randomly Adaptive Weights (MOEA/DURAW) which uses the Uniformly Randomly method as an approach to subproblems generation, allowing a flexible population size even when working with many objective problems.

Cannot find the paper you are looking for? You can Submit a new open access paper.