List of Topics:
Location Research Breakthrough Possible @S-Logix pro@slogix.in

Office Address

Social List

Journal of Global Optimization - Springer Nature | 2024 Impact Factor:1.7 | Cite Score:3.7 | Q1

Journal of Global Optimization

Impact Factor and Journal Rank of Global Optimization

  • About: The Journal of Global Optimization is a peer-reviewed journal that focuses on the theoretical and computational aspects of global optimization. It provides a platform for researchers, practitioners, and academics to publish original research, survey papers, and technical advances in the field of optimization, emphasizing global optimization techniques and their applications.
  • Objective:
    The journal aims to advance the understanding and methodologies in global optimization, addressing both theoretical developments and practical applications. It seeks to promote the development of efficient algorithms, optimization models, and applications across various disciplines.
  • Focus Areas:
    Topics covered in the Journal of Global Optimization include, but are not limited to: Theory and algorithms of global optimization Multi-objective optimization Stochastic and robust optimization Optimization under uncertainty Applications in engineering, economics, finance, and logistics Metaheuristics and evolutionary algorithms Convex and non-convex optimization Optimization software and tools Optimization in machine learning and data science
  • Impact:
    The journal significantly contributes to the field of optimization by publishing innovative research that enhances the efficiency, robustness, and applicability of global optimization techniques. It influences the development of optimization methods that address complex real-world problems.
  • Significance:
    The Journal of Global Optimization is significant for fostering collaboration and knowledge exchange among researchers and practitioners in optimization. It serves as a valuable resource for academics and professionals seeking to apply advanced optimization techniques to solve challenging problems across various domains.

  • Editor-in-Chief:  Sergiy Butenko

  • Scope: The journal covers optimization broadly, including:
  • Nonlinear Optimization: Methods and algorithms for optimizing non-convex and non-smooth functions.
  • Mixed Integer Optimization: Techniques for optimizing problems with discrete and continuous variables.
  • Combinatorial Optimization: Algorithms and approaches for solving combinatorial optimization problems.
  • Stochastic Optimization: Optimization under uncertainty and probabilistic constraints.
  • Robust Optimization: Methods for optimizing solutions robust to uncertainty and perturbations.
  • Multi-objective Optimization: Strategies for optimizing conflicting objectives simultaneously.
  • Computational Geometry: Optimization problems involving geometric constraints and structures.
  • Equilibrium Problems: Optimization models and algorithms for finding equilibrium solutions in economic and game theoretic contexts.
  • Data-driven Methods: Optimization techniques driven by data analytics and machine learning.
  • Optimization-based Data Mining: Applications of optimization methods in data mining and knowledge discovery.
  • Latest Research Topics for PhD in Computer Science
    •

  • Print ISSN:  09255001

    Electronic ISSN:   15732916

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  1.7

  • Subject Area and Category:   Computer Science, Computer Science Applications, Decision Sciences, Management Science and Operations Research, Mathematics, Applied Mathematics, Control and Optimization

  • Publication Frequency:  

  • H Index:  102

  • Best Quartile:

    Q1:  Applied Mathematics

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  3.7

  • SNIP:  1.461

  • Journal Rank(SJR):  0.807