《全局优化》杂志发表了经过仔细参考的论文，涵盖了全局优化的理论、计算和应用方面。该期刊的重点放在寻找非凸多极值问题的全局最优的原始研究贡献上，其范围涵盖了最广泛的优化，包括非线性、混合整数、组合、随机、鲁棒、多目标优化、计算几何和平衡问题。关于数据驱动方法和基于优化的数据挖掘的相关工作具有特殊的意义。除了涵盖全球优化理论和算法的论文外，该杂志还发表了大量关于数值实验、新试验台以及在工程、管理和科学领域的应用的论文。特别感兴趣的应用包括医疗保健、计算生物化学、能源系统、电信和金融。除了长篇文章，该杂志的特点是在开放和解决全球优化问题的简短沟通。它还提供有关书籍的评论和出版特刊。
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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.
