| 书目名称 | Nature-Inspired Methods for Metaheuristics Optimization |
| 副标题 | Algorithms and Appli |
| 编辑 | Fouad Bennis,Rajib Kumar Bhattacharjya |
| 视频video | http://file.papertrans.cn/663/662077/662077.mp4 |
| 概述 | Focuses on algorithms that are highly efficient in solving non-linear non-convex problems.Gives practical insights into the implementation of meta-heuristic optimization algorithms.Reports on applicat |
| 丛书名称 | Modeling and Optimization in Science and Technologies |
| 图书封面 |  |
| 描述 | This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.. |
| 出版日期 | Book 2020 |
| 关键词 | Ant Colony Optimization; Analytical Hierarchical Process; Biogeography Based Optimization; Corridor All |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-26458-1 |
| isbn_softcover | 978-3-030-26460-4 |
| isbn_ebook | 978-3-030-26458-1Series ISSN 2196-7326 Series E-ISSN 2196-7334 |
| issn_series | 2196-7326 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手机版|小黑屋|
派博传思国际
( 京公网安备110108008328)
GMT+8, 2025-11-11 17:01
发表于 2025-3-21 19:07:04
