
Refereed Journal Articles


15. L. Amichi, M. Kaneko, E. H. Fukuda, N. El Rachkidy and A. Guitton.
Joint allocation strategies of power and spreading factors with imperfect
orthogonality in LoRa networks. Submitted, 2019.
14. K. Mita, E. H. Fukuda and N. Yamashita.
Nonmonotone line searches for unconstrained multiobjective optimization problems.
Submitted, 2018.
13. E. H. Fukuda, L. M. Graña
Drummond and F. M. P. Raupp. A
barriertype method for multiobjective
optimization. To appear in Optimization, 2019.
[ pdf ]
12. H. Tanabe, E. H. Fukuda and N. Yamashita.
Proximal gradient methods for multiobjective
optimization and their applications. Computational
Optimization and Applications, 72(2):339361, 2019.
[ doi ]
11. B. F. Lourenço, E. H. Fukuda and M. Fukushima. Optimality
conditions for problems over symmetric
cones and a simple augmented Lagrangian
method. Mathematics of Operations Research, 43(4):12331251, 2018.
[ doi 
pdf ]
10. E. H. Fukuda and B. F. Lourenço. Exact augmented
Lagrangian functions for nonlinear
semidefinite programming. Computational
Optimization and Applications, 71(2):457482,
2018. [ doi
 pdf ]
9. B. F. Lourenço, E.
H. Fukuda and M. Fukushima. Optimality
conditions for nonlinear semidefinite
programming via squared slack
variables. Mathematical Programming,
168(12):177200, 2018.
[ doi 
pdf ]
8. E. H. Fukuda and M. Fukushima. A
note on the squared slack variables
technique for nonlinear optimization.
Journal of the Operations Research
Society of Japan, 60(3):262270, 2017.
[ doi
 pdf ]
7. E. H. Fukuda and M.
Fukushima. The use of squared slack
variables in nonlinear secondorder cone
programming. Journal of
Optimization Theory and Applications,
170(2):394418, 2016.
[ doi 
pdf ]
6. E. H. Fukuda, L. M. Graña
Drummond and F. M. P. Raupp. An
external penaltytype method for
multicriteria.
TOP, 24(2):493513, 2016.
[ doi 
pdf ]
5. E. H. Fukuda and L. M. Graña
Drummond. A survey on multiobjective
descent methods. Pesquisa
Operacional, 34(3):585620,
2014. [ doi ]
4. E. H. Fukuda and L. M. Graña
Drummond. Inexact projected gradient method
for vector optimization. Computational
Optimization and Applications,
54(3):473493, 2013.
[ doi 
pdf ]
3. R. Andreani, E. H. Fukuda and
P. J. S. Silva. A GaussNewton approach
for solving constrained optimization
problems using differentiable exact
penalties.
Journal of Optimization Theory and
Applications, 156(2):417449, 2013.
[ doi 
pdf ]
2. E. H. Fukuda, P. J. S. Silva and
M. Fukushima. Differentiable exact
penalty functions for nonlinear
secondorder cone programs. SIAM Journal
on Optimization, 22(4):16071633,
2012. [ doi 
pdf ]
1. E. H. Fukuda and L. M. Graña
Drummond. On the convergence of the
projected gradient method for vector
optimization.
Optimization, 60(89):10091021, 2011.
[ doi 
pdf ]






3. E. H. Fukuda. Descent methods for
multiobjective optimization: extending
singleobjective optimization methods
(in Japanese). Systems, Control and Information,
vol. 62, pp. 352357, September 2018.
2. E. H. Fukuda. Multiobjective
optimization: basis of descent methods (in
Japanese). Special issue on "29th RAMP
Symposium", Operations Research Society
of Japan, vol. 63, pp. 146152, March 2018.
[ pdf ]
1. E. H. Fukuda and M. Fukushima.
Secondorder cone programming and a method using
squared slack variables (in Japanese).
Special issue on "Theory on secondorder cone
programming", Operations Research Society of
Japan, vol. 59, pp. 707715, December 2014.
[ pdf ]






7. E. H. Fukuda, B. F. Lourenço and
M. Fukushima. A survey on secondorder conditions for nonlinear
symmetric cone programming via squared slack variables. To appear in
RIMS Kôkyûroku, Kyoto, Japan, 2019.
6. E. H. Fukuda. Descent methods in
multiobjective optimization (in Japanese). Proceedings
of the 29th RAMP Symposium, vol. 29, pp. 115124, October, 2017.
5. K. Mita, E. H. Fukuda and N. Yamashita.
On using nonmonotone line search techniques in steepest descent methods
for multiobjective optimization (in Japanese).
Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers,
Kyoto, Japan, May 2017.
4. I. Isonishi, E. H. Fukuda and N. Yamashita.
A new DC method for BMIconstrained optimization (in Japanese).
Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers,
Kyoto, Japan, May 2017.
3. E. H. Fukuda and B. F. Lourenço.
Constructing a continuously differentiable exact augmented Lagrangian function for nonlinear
semidefinite programming.
RIMS Kôkyûroku, vol. 2027, pp. 150157, Kyoto, Japan, April 2017.
[ pdf ]
2. D. Tsuyuguchi, E. H. Fukuda, M. Hu and M. Fukushima.
Reformulating multileaderfollower games with smoothing method (in Japanese).
RIMS Kôkyûroku, vol. 1981, pp. 149157, Kyoto, Japan, January 2016.
[ pdf ]
1. E. H. Fukuda, B. F. Lourenço and M. Fukushima.
A note on nonlinear semidefinite programming and the squared slack variables technique.
RIMS Kôkyûroku, vol. 1981, pp. 143148, Kyoto, Japan, January 2016.
[ pdf ]
Please see here
for conference presentations.






E. H. Fukuda. Topics in differentiable exact penalties (in Portuguese).
Ph.D. thesis, University of São Paulo, Brazil, 2011.
[ pdf ]
E. H. Fukuda. Volume algorithm and
nondifferentiable optimization (in Portuguese).
Master thesis, University of São Paulo, Brazil, 2007.
[ pdf ]
E. H. Fukuda. Information retrieval
using computational linear algebra (in Portuguese).
Undergraduate thesis, University of São Paulo, Brazil, 2005.
[ pdf ]


