About the Journal

The Journal of Advances in Optimization Theory is an international, peer-reviewed academic hybrid journal dedicated to publishing original research and comprehensive surveys in all areas of optimization. The journal provides a platform for exchanging innovative ideas and the latest developments in both theoretical and applied optimization aspects.

The Journal of Advances in Optimization Theory is an esteemed, peer-reviewed academic journal dedicated to the advancement of research in the field of optimization theory. Our journal publishes high-quality articles that explore theoretical advancements, innovative algorithms, and the applications of optimization across a diverse range of disciplines.

Scope of the Journal

We welcome original research, reviews, and technical notes that address both fundamental and applied aspects of optimization. Topics include, but are not limited to:

  • Mathematical optimization and variational analysis;

  • Convex and non-convex optimization;

  • Integer and combinatorial optimization;

  • Stochastic and robust optimization;

  • Multi-objective and global optimization;

  • Optimization algorithms and computational methods;

  • Applications in engineering, economics, data science, operations research, machine learning, and other scientific domains.

Mission and Vision

The mission of the Journal of Advances in Optimization Theory is to foster the dissemination of cutting-edge research in optimization, with an emphasis on both theoretical foundations and practical applications. Our goal is to support the global academic community by providing a high-quality platform for sharing the latest findings and innovations in optimization science.

For details on the submission, please visit our submission page.