On the convergence of the projected gradient method for vector optimization EH Fukuda, LMG Drummond Optimization 60 (8-9), 1009-1021, 2011 | 88 | 2011 |
A survey on multiobjective descent methods EH Fukuda, LMG Drummond Pesquisa Operacional 34, 585-620, 2014 | 81 | 2014 |
Inexact projected gradient method for vector optimization EH Fukuda, LMG Drummond Computational Optimization and Applications 54 (3), 473-493, 2013 | 81 | 2013 |
Joint allocation strategies of power and spreading factors with imperfect orthogonality in LoRa networks L Amichi, M Kaneko, EH Fukuda, NE Rachkidy, A Guitton IEEE Transactions on Communications 68 (6), 3750-3765, 2020 | 66 | 2020 |
Proximal gradient methods for multiobjective optimization and their applications H Tanabe, EH Fukuda, N Yamashita Computational Optimization and Applications 72 (2), 339-361, 2018 | 62 | 2018 |
Nonmonotone line searches for unconstrained multiobjective optimization problems K Mita, EH Fukuda, N Yamashita Journal of Global Optimization 75 (1), 63-90, 2018 | 35 | 2018 |
Convergence rates analysis of multiobjective proximal gradient methods H Tanabe, EH Fukuda, N Yamashita Optimization Letters 17, 333-350, 2023 | 29 | 2023 |
Optimality conditions for nonlinear semidefinite programming via squared slack variables BF Lourenço, EH Fukuda, M Fukushima Mathematical Programming 168 (1-2), 177-200, 2018 | 27 | 2018 |
Energy efficient resource allocation optimization in fog radio access networks with outdated channel knowledge LD T. H, M Kaneko, EH Fukuda, L Boukhatem IEEE Transactions on Green Communications and Networking 5 (1), 146-159, 2021 | 25 | 2021 |
Differentiable exact penalty functions for nonlinear second-order cone programs EH Fukuda, PJS Silva, M Fukushima SIAM Journal on Optimization 22 (4), 1607-1633, 2012 | 23 | 2012 |
New merit functions for multiobjective optimization and their properties H Tanabe, EH Fukuda, N Yamashita Optimization, 1-38, 2023 | 22* | 2023 |
Optimality conditions for nonlinear second-order cone programming and symmetric cone programming R Andreani, EH Fukuda, G Haeser, DO Santos, LD Secchin Journal of Optimization Theory and Applications, 1-33, 2023 | 20* | 2023 |
An accelerated proximal gradient method for multiobjective optimization H Tanabe, EH Fukuda, N Yamashita Computational Optimization and Applications 86, 421-455, 2023 | 19 | 2023 |
Exact augmented Lagrangian functions for nonlinear semidefinite programming EH Fukuda, BF Lourenço Computational Optimization and Applications 71, 457-482, 2018 | 17 | 2018 |
The use of squared slack variables in nonlinear second-order cone programming EH Fukuda, M Fukushima Journal of Optimization Theory and Applications 170 (2), 394-418, 2016 | 15 | 2016 |
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming R Andreani, EH Fukuda, G Haeser, DO Santos, LD Secchin Computational Optimization and Applications 79 (3), 633-648, 2021 | 14 | 2021 |
An external penalty-type method for multicriteria EH Fukuda, LMG Drummond, FMP Raupp TOP 24 (2), 493-513, 2015 | 14 | 2015 |
A note on the squared slack variables technique for nonlinear optimization EH Fukuda, M Fukushima Journal of the Operations Research Society of Japan 60 (3), 262-270, 2017 | 13 | 2017 |
A Gauss-Newton approach for solving constrained optimization problems using differentiable exact penalties R Andreani, EH Fukuda, PJS Silva Journal of Optimization Theory and Applications 156 (2), 417-449, 2013 | 11 | 2013 |
A barrier-type method for multiobjective optimization EH Fukuda, LM Drummond, FMP Raupp Optimization 69 (11), 2471-2487, 2020 | 9 | 2020 |