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.
数据整理自公开网络的投稿反馈，仅供参考。
