A derivative-free approach to mixed integer constrained multiobjective nonsmooth optimization Available in: Python
Copyright (C) 2022 - G. Liuzzi, S. Lucidi

GNU GPL license

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/



Relevant Publications

G. Liuzzi, S. Lucidi (2022). A derivative-free approach to mixed integer constrained multiobjective nonsmooth optimization. Pre-print available at https://arxiv.org/abs/2204.06830


A derivative-free Linesearch program for constrained multiobjective nonsmooth optimization problems. Available in: Fortran90
Copyright (C) 2016 - G. Liuzzi, S.Lucidi, F. Rinaldi

GNU GPL license

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/



Relevant Publications

G.Liuzzi, S.Lucidi, F.Rinaldi. A derivative-free approach to constrained multiobjective nonsmooth optimization, SIAM Journal on Optimization, 26(4): 2744-2774 (2016) DOI: 10.1137/15M1037810


A derivative-free DIRECT-type algorithm for constrained multiobjective global optimization problems. Available in: Fortran90
Copyright (C) 2017 - E.F. Campana, M. Diez, G. Liuzzi, S. Lucidi, R. Pellegrini, V. Piccialli, F. Rinaldi, A. Serani

GNU GPL license

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/



Relevant Publications

E.F.Campana, M.Diez, G.Liuzzi, S.Lucidi, R.Pellegrini, V.Piccialli, F.Rinaldi, A.Serani. A multi-objective DIRECT algorithm for ship hull optimization, Computational Optimization and Applications, 71(1): 53-72 (2018) DOI: 10.1007/s10589-017-9955-0


An implicit filtering algorithm for box constrained multiobjective optimization problems. Available in: Matlab
Copyright (C) 2017 - G.Cocchi, G.Liuzzi, A.Papini, M.Sciandrone

GNU GPL license

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/



Relevant Publications

G.Cocchi, G.Liuzzi, A.Papini, M.Sciandrone. An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints, Computational Optimization and Applications, 69(2): 267-296 (2018) DOI:10.1007/s10589-017-9953-2