论文标题
组合优化的研究趋势
Research trends in combinatorial optimisation
论文作者
论文摘要
现实世界中的问题变得高度复杂，因此必须通过组合优化（CO）技术来解决。由于CO的出版物的强烈增加，该研究领域的8,393篇文章经过文献计量分析。使用数学方法和一种新型算法进行关键字分析研究文献语料库。除了最相关的国家，组织和作者及其协作外，还提出了最相关的CO问题，解决方案方法和应用程序领域。关于CO的出版物主要关注遗传学算法（例如遗传算法）的发展或增强。越来越面向问题的研究尤其涉及能源部门，生产部门或数据管理中的现实应用，这些应用程序由于各种全球发展而增加了相关性。 CO中全球研究趋势的演示可以支持研究人员确定有关扩展和转变研究领域的相关问题。
Real-world problems are becoming highly complex and, therefore, have to be solved with combinatorial optimisation (CO) techniques. Motivated by the strong increase of publications on CO, 8,393 articles from this research field are subjected to a bibliometric analysis. The corpus of literature is examined using mathematical methods and a novel algorithm for keyword analysis. In addition to the most relevant countries, organisations and authors as well as their collaborations, the most relevant CO problems, solution methods and application areas are presented. Publications on CO focus mainly on the development or enhancement of metaheuristics like genetic algorithms. The increasingly problem-oriented studies deal particularly with real-world applications within the energy sector, production sector or data management, which are of increasing relevance due to various global developments. The demonstration of global research trends in CO can support researchers in identifying the relevant issues regarding this expanding and transforming research area.
