Journal of Optimization Theory and Applications

Scope:
In recent decades, researchers have increasingly tackled with optimization challenges that defy resolution through conventional convex or monotonic frameworks, in view of applications in science, engineering and other disciplines. Consequently, novel methodologies are emerging in nonsmooth, variational, and convex analysis. This special issue aims to publish original high-quality papers centered around the broad area of convexity, monotonicity and their extensions, and variational analysis, in and beyond optimization. Thus, it sheds new light on classical results and opens new approaches to face ‘‘nonconvex problems’’ in both theoretical and practical scenarios. Some of the papers collected in the special issue will be presented at the XIV International Symposium on Generalized Convexity and Monotonicity, to be held on September 2-6, 2024, in Pisa, Italy. So that, other researchers working in the area will also be welcome to contribute.
 

Contributions may include, but are not limited to the following topics:
* Algorithms for fixed point, (quasi-) variational inequality and optimization problems;
* Quadratic optimization problems;
* (Quasi-) Variational inequalities, equilibrium problems and related topics;
* Robust optimization;
* Set optimization;
* Vector optimization.

Guest Editors:
Riccardo Cambini, University of Pisa, riccardo.cambini@unipi.it
Fabian Flores-Bazan, University of Concepcion, faflores@udec.cl
Nicolas Hadjisavvas, University of the Aegean, nhad@aegean.gr
Rita Pini, University of Milano – Bicocca, rita.pini@unimib.it

Timing:
Submission deadline: March 31,  2025
Targeted Publication Date: December 2025
 

Computational optimization plays a pivotal role in contemporary artificial intelligence (AI) research and development, becoming an essential tool for enhancing the efficiency and performance of these systems. As the volume of data and the complexity of AI algorithms continue to grow, the ability to optimally allocate computational resources, minimize processing time and energy consumption, and improve the quality of modeling and predictions becomes critically important. Therefore, investigating and developing new methods of computational optimization directly impacts the pace of scientific progress in the AI field and facilitates the broader implementation of artificial intelligence technologies across various aspects of life.

Submission deadline:   16 September  2024

Guest editors:
Roland Hildebrand (Univ. Grenoble Alpes, CNRS, Grenoble)
Engeny Burnaev (Skolkovo Institute of Science and Technology, Russia) 
Martin Takac (MBZUAI )
Alexander Gasnikov (Moscow institute of Physics and Technology) 

The scope of this Special Issue is to commemorate our colleague Andrea Bacciotti, from Politecnico di Torino (Italy), who untimely passed away in summer 2022.

The research of Andrea Bacciotti focused mainly on the study of stability and of the stabilization of Control Systems giving a big contribution to the field. He also contributed to the study of global and local controllability and he had national and international collaboration. Andrea was also devoted Scholar who did welcome and encouraged many young people. For this Special Issue we thus asked for the contribution of some of his former students and collaborators, as well as people of the broader Control community. If the Special Issue we are proposing is accepted, we plan to circulate a call for papers among a wider circle of active researchers mostly but not exclusively in the field of nonlinear control systems.

Submission deadline               15^th July 2024

Guest Editors
Laura Poggiolini (Università degli Studi di Firenze), <laura.poggiolini@unifi.it>
Luciano Pandolfi (Politecnico di Torino),  <luciano.pandolfi@formerfaculty.polito.it>
Franco Rampazzo (Università degli Studi di Padova)  <rampazzo@math.unipd.it>
Lionel Rosier (Université du Littoral Cote d'Opale),  <lionel.rosier@univ-littoral.fr>
 

This special issue is devoted to presenting new developments in the fields of continuous optimization and variational analysis.
Contributions are expected, in particular, in the areas of convex and nonconvex optimization, nonsmooth optimization, minimax problems, quadratic programming, fractional programming, stochastic optimization, variational inequalities, equilibrium problems, vector and set-valued optimization, (splitting) proximal point type algorithms, (generalized) monotone operators, and equally welcome are investigations on concrete applications in economics, finance, engineering, computer sciences and machine learning, among others, that can be modeled as optimization problems (in the largest sense) and/or solved by means of numerical optimization. This special issue is related to the Chilean-Peruvian Conference on Optimization and Variational Analysis 2024 (ChiPOVA-2024).

Sorin-Mihai Grad (Lead Guest Editor): ENSTA Paris, France,
                          Email:  sorin-mihai.grad@ensta-paris.fr
Yboon Victoria García Ramos,  University of the Pacific, Lima, Peru.
                          Email:   garcia_yv@up.edu.pe
Felipe Lara, University of Tarapacá,  Arica, Chile.
                          Email: felipelaraobreque@gmail.com