| 書(shū)目名稱(chēng) | Metaheuristics for Data Clustering and Image Segmentation |
| 編輯 | Meera Ramadas,Ajith Abraham |
| 視頻video | http://file.papertrans.cn/632/631368/631368.mp4 |
| 概述 | Presents recent research on metaheuristics for data clustering and image segmentation.Includes a detailed study of the differential evolution and flower pollination algorithms.Written primarily for ac |
| 叢書(shū)名稱(chēng) | Intelligent Systems Reference Library |
| 圖書(shū)封面 |  |
| 描述 | .In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics. . |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Computational Intelligence; Flower Pollination Algorithm; Differential Evolution; Data Clustering; Image |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-04097-0 |
| isbn_ebook | 978-3-030-04097-0Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機(jī)版|小黑屋|
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