EURO Journal on Computational Optimization (EJCO)

EURO Journal on Computational Optimization is an international, peer-reviewed, open-access journal dedicated to advancing research in computational optimization and operations research. Published by Elsevier on behalf of the Association of European Operational Research Societies (EURO), the journal serves as a leading platform for researchers, mathematicians, computer scientists, and engineers working on the theory and application of optimization methods. It publishes original research articles, short communications, and invited tutorials and surveys that explore the interaction between operations research, optimization, and computer science. The journal covers a broad range of topics, including linear, nonlinear, stochastic, robust, integer, mixed-integer, and combinatorial optimization, mathematical programming, decomposition methods, heuristics and metaheuristics, machine learning for optimization, network optimization, scheduling, logistics, supply chain optimization, and large-scale computational algorithms. A defining feature of the journal is its emphasis on computational validation, requiring innovative methodologies to be supported by convincing computational experiments and practical applications. The journal promotes interdisciplinary research with applications in engineering, transportation, manufacturing, finance, telecommunications, healthcare, and data analytics. By encouraging both theoretical advances and real-world implementations, EJCO contributes significantly to the development of efficient optimization techniques for complex decision-making problems and computational sciences.

EURO Journal on Computational Optimization (EJCO) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computational Optimization, Operations Research, Mathematical Optimization, Data Science, Integer Programming, Linear and Nonlinear Optimization, Combinatorial Optimization, Algorithms, Mathematical Modeling, Decision Science, Computational Mathematics, Industrial Engineering, linear, nonlinear, stochastic, robust, integer, mixed-integer, and combinatorial optimization, mathematical programming, decomposition methods, heuristics and metaheuristics, machine learning for optimization, network optimization, scheduling, logistics, supply chain optimization, large-scale computational algorithms , Online or Print , Continuously Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2192-4406, E-ISSN: 2192-4414, Established: 2013,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE