The Journal of Global Optimization presents significant contributions to the theory, algorithms, and applications of global optimization. The journal emphasizes computationally testable algorithms for finding global minima or maxima of continuous and discrete optimization problems. The first 150 characters: Focuses on global optimization theories, algorithms, and applications, emphasizing computationally verifiable methods for finding global minima and maxima.
Key areas include deterministic and stochastic methods, convex and nonconvex optimization, and applications in engineering, economics, and computer science. The journal's target audience comprises researchers and practitioners from diverse fields who need to solve complex optimization problems. It is indexed in major scientific databases.
By providing a platform for novel research and practical applications, the Journal of Global Optimization fosters advancements in this critical area of applied mathematics and computer science. Explore submission guidelines and more on the journalÂ’s website to contribute to the fieldÂ’s ongoing development.