| 书目名称 | Nature-Inspired Algorithms and Applied Optimization | | 编辑 | Xin-She Yang | | 视频video | | | 概述 | Reviews the state-of-the-art developments in nature-inspired algorithms and optimization.Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspir | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.. | | 出版日期 | Book 2018 | | 关键词 | Algorithm; Applied Optimization; Bio-inspired Computing; Bat Algorithm; Convergence Analysis; Cuckoo Sear | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-67669-2 | | isbn_softcover | 978-3-319-88465-3 | | isbn_ebook | 978-3-319-67669-2Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
The information of publication is updating
|
|
发表于 2025-3-21 17:22:10
