A Systematic Literature Review of Solution-Space Visualization Approaches in the Context of Optimization Problems

Ennio W. L. Silva, H. A. D. D. Nascimento, J. P. Felix, Humberto J. Longo, B. Scheuermann
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Abstract

The solution space of an optimization problem consists of all its feasible solutions. In this work, we present a systematic literature review on the application of Information Visualization (IV) techniques for understanding and exploring such solution spaces. The review was conducted on several search databases, and we identified 264 papers that satisfied our inclusion criteria. A performance filter was applied to these papers, and we further analyzed and extracted data from 65 of them. Our analysis shows that there are a variety of solution space visualization approaches and provides useful references to support further studies on the subject.
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优化问题中解空间可视化方法的系统文献综述
优化问题的解空间由其所有可行解组成。在这项工作中,我们对信息可视化(IV)技术在理解和探索此类解空间中的应用进行了系统的文献综述。在几个检索数据库中进行了回顾,我们确定了264篇论文符合我们的纳入标准。我们对这些论文进行了性能筛选,并对其中的65篇论文进行了进一步的分析和提取。我们的分析表明,存在多种解空间可视化方法,并为支持该主题的进一步研究提供了有用的参考。
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