Overview
The Journal of Optimization Theory and Applications is committed to publishing meticulously chosen, high-quality papers encompassing a range of contributions, including research papers, invited papers, survey papers, and technical notes. The content of the journal revolves around mathematical optimization techniques, computational methodologies of optimization algorithms, and their diverse applications in science, engineering, and business.
Theoretical domains covered in the journal include linear, nonlinear, conic, stochastic, discrete, and dynamic optimization, multiobjective optimization, optimal control, as well as variational and convex analysis. Application areas span mathematical economics, mathematical physics and biology, and various branches of engineering, including aerospace, biomedical, chemical, civil, electrical, and mechanical engineering. The journal encourages submissions in recent, emerging, and novel areas of optimization, such as machine/deep learning, artificial intelligence, service systems optimization, and quantum computing optimization.
The Journal of Optimization Theory and Applications embraces a comprehensive approach, particularly embracing the application of rigorous optimization techniques in solving high impact problems. It provides a platform for book notices, and forums – the latter being concise papers facilitating comments on published works, discussions on open problems, and exploration of research perspectives. Through this diverse range of contributions, the journal aims to advance optimization sciences and their applications in various scientific and engineering domains.
- Editor-in-Chief
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- Tamás Terlaky
- Impact factor
- 1.9 (2022)
- 5 year impact factor
- 1.8 (2022)
- Submission to first decision (median)
- 14 days
- Downloads
- 318,534 (2023)
Latest articles
Journal updates
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SI: New Trends in Control Theory
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 15th 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>
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SI: New Developments on Optimization, Variational Analysis and Their Applications - Special Issue in Honor of Fabián Flores-Bazán
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 -
SI: Recent Advanced Techniques for Nonlinear and Optimization Problems
The special issue on "Recent Advanced techniques for nonlinear and Optimization Problems" focuses on the intersection of various techniques for nonlinear, variational and Optimization Problems by exploring cutting-edge research in methods and applications. The area encompasses a broad spectrum of topics, ranging from nonlinear and optimization problems monitoring, and performance analysis to real-world applications in various domains such as industrial, financial, and engineering. The main scope of this special issue is to provide a comprehensive platform for researchers and scientists to present original work, share insights, and contribute to the evolving landscape of nonlinear and optimization problems. The significance lies in advancing our understanding of techniques for nonlinear and optimization problems, fostering innovation on the subject, and addressing complex challenges across diverse fields.
Topics of Interest: Contributions to this special issue may include, but are not limited to, the following topics:
• Derivative free-optimization and applications
• Multi-objective and inverse multi-objective optimization.
• Operator splitting methods
• Set Optimization
• Robust optimization
• Variational Analysis in Structured Optimization
• Inertial iterative techniques for fixed point, variational inequality, and optimization problems
Guest Editors:- Qamrul Hasan Ansari, Department of Mathematics, Aligarh Muslim University, Aligarh 202002, India
- Daya Ram Sahu, Department of Mathematics, Banaras Hindu University, Varanasi, 221005 India
- Hong-Kun Xu, School of Science, Hangzhou Dianzi University, Hangzhou 310018, China
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Special Issue: Optimization: Theory, Algorithms and Applications in Energy
This special Issue is in honour of the 10th year anniversary of the Gaspard Monge Program in Optimization (PGMO) an industrially sponsored research program covering many different aspects of optimization theory. From an applicative viewpoint the program has, in particular, an interest in “energy related” problems. The latter, understood in a large sense, can be characterized by the presence of uncertainty, large scale, combinatorial aspects, nonsmoothness and non-convexity. The just mentioned features depending on the nature of the investigated models. Energy problems are of societal importance. As a result, the research in optimization carried out through PGMO can be understood to have real-life impact. In terms of mathematical optimization disciplines the scope of this SI is large as indeed a great many features can be found in problems from practice. We can thus cover:
- Stochastic programming
- Combinatorial optimization
- Nonsmooth and variational analysis
- Algorithmic developments
- Decomposition approaches
Guest Editors:- Wim van Ackooij ( wim.van.ackooij@gmail.com )
- Grégoire Allaire ( gregoire.allaire@polytechnique.fr )
- Antonin Chambolle ( antonin.chambolle@ceremade.dauphine.fr )
- Sourour Elloumi ( sourour.elloumi@ensta-paris.fr )
- Stéphane Gaubert ( stephane.gaubert@inria.fr )
- Nadia Oudjane ( nadia.oudjane@edf.fr )
- Claudia Sagastizabal (sagastiz@unicamp.br)
Submission deadline: 30 June, 2024
Journal information
- Electronic ISSN
- 1573-2878
- Print ISSN
- 0022-3239
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- Copyright information
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