| 书目名称 | Numerical and Evolutionary Optimization – NEO 2017 |
| 编辑 | Leonardo Trujillo,Oliver Schütze,Paul Valle |
| 视频video | |
| 概述 | Presents recent numerical and evolutionary optimization research.Includes the outcomes of the Numerical and Evolutionary Optimization (NEO 2017) workshop held in Tijuana, Mexico.Written by experts in |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field. |
| 出版日期 | Conference proceedings 2019 |
| 关键词 | Smart Cities; NEO 2017; Computational Intelligence; Numerical Optimization; Evolutionary Optimization; Se |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-96104-0 |
| isbn_softcover | 978-3-030-07144-8 |
| isbn_ebook | 978-3-319-96104-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |
发表于 2025-3-21 16:12:44
