《全局優化》雜志發表了經過仔細參考的論文，涵蓋了全局優化的理論、計算和應用方面。該期刊的重點放在尋找非凸多極值問題的全局最優的原始研究貢獻上，其范圍涵蓋了最廣泛的優化，包括非線性、混合整數、組合、隨機、魯棒、多目標優化、計算幾何和平衡問題。關于數據驅動方法和基于優化的數據挖掘的相關工作具有特殊的意義。除了涵蓋全球優化理論和算法的論文外，該雜志還發表了大量關于數值實驗、新試驗臺以及在工程、管理和科學領域的應用的論文。特別感興趣的應用包括醫療保健、計算生物化學、能源系統、電信和金融。除了長篇文章，該雜志的特點是在開放和解決全球優化問題的簡短溝通。它還提供有關書籍的評論和出版特刊。

The Journal of Global Optimization publishes carefully refereed papers that encompass theoretical, computational, and applied aspects of global optimization. While the focus is on original research contributions dealing with the search for global optima of non-convex, multi-extremal problems, the journal’s scope covers optimization in the widest sense, including nonlinear, mixed integer, combinatorial, stochastic, robust, multi-objective optimization, computational geometry, and equilibrium problems. Relevant works on data-driven methods and optimization-based data mining are of special interest.In addition to papers covering theory and algorithms of global optimization, the journal publishes significant papers on numerical experiments, new testbeds, and applications in engineering, management, and the sciences. Applications of particular interest include healthcare, computational biochemistry, energy systems, telecommunications, and finance. Apart from full-length articles, the journal features short communications on both open and solved global optimization problems. It also offers reviews of relevant books and publishes special issues.