Computational Intelligence in Astronomy: A Survey

• Main Authors: Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du
• Format: Article
• Language: English
• Published: Atlantis Press 2018-01-01
• Series: International Journal of Computational Intelligence Systems
• Subjects: Computational intelligence; astronomical data analysis; neural networks; fuzzy set; evolutionary computation
• Online Access: https://www.atlantis-press.com/article/25892511/view

With explosive growth of the astronomical data, astronomy has become a representative data-rich discipline so as to defy traditional research methodologies and paradigm to analyze data and discover new knowledge from the data. How to effectively process and analyze the astronomical data is a fundamental work while a key scientific requirement of modern astronomical surveys. This situation has motivated needs for fostering of a wide range of cooperation with the astronomers and computer scientists. Computational intelligence, an important research direction of artificial intelligence and information sciences, has been shown to be promising to solve complex problems in scientific research and engineering. This paper presents a review of the current state of the application of computational intelligence in astronomy. We believe that computational intelligence is expected to provide powerful tools for addressing challenges in astronomical data analysis.