Optimization Methods and Software is a premier journal devoted to disseminating high-quality research on optimization algorithms, methodologies, and their software implementations. The journal focuses on advancing the state-of-the-art in optimization techniques applicable to a wide range of problems.
The journal's scope includes both theoretical and computational aspects of optimization, with an emphasis on practical applications in science, engineering, and industry. Key areas covered include linear and nonlinear programming, convex optimization, global optimization, and metaheuristics. Optimization Methods and Software is indexed to maintain a broad readership among researchers and practitioners.
By providing a platform for disseminating cutting-edge research, the journal fosters innovation and collaboration in the field of optimization. Authors are invited to submit their original work, contributing to the development of more efficient and robust optimization methods and their widespread adoption in solving complex real-world challenges.