Computational Optimization and Applications (COAP) is a premier journal focused on the theoretical, algorithmic, and application aspects of optimization. The journal bridges the gap between theoretical advances and practical implementations, serving as a vital resource for researchers and practitioners. The first 150 characters highlight the focus of the journal.
The journal covers a wide range of topics, including mathematical modeling, optimal control, differential equations, and dynamical systems. It also features articles on the development and analysis of optimization algorithms, such as those used in mathematics, engineering, and computer science. Indexed in major databases such as Scopus and Web of Science, the journal ensures broad visibility for its high-quality research. The target audience is researchers, academics, and practitioners working in optimization and related fields.
Computational Optimization and Applications promotes the submission of original research that contributes to both the theory and practice of optimization. By offering a platform for cutting-edge research and innovative applications, COAP facilitates advancements in a wide range of fields. This publication makes a substantial contribution to the field by promoting optimization approaches for a range of real-world applications. (Ensure you are complying with copyright laws)