商品描述
Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies.
Book Features:
- Provides a unified view of the most popular metaheuristic methods currently in use
- Includes the necessary concepts to enable readers to implement and modify already known metaheuristic methods to solve problems
- Covers design aspects and implementation in MATLAB(R)
- Contains numerous examples of problems and solutions that demonstrate the power of these methods of optimization
The material has been written from a teaching perspective and, for this reason, this book is primarily intended for undergraduate and postgraduate students of artificial intelligence, metaheuristic methods, and/or evolutionary computation. The objective is to bridge the gap between metaheuristic techniques and complex optimization problems that profit from the convenient properties of metaheuristic approaches. Therefore, engineer practitioners who are not familiar with metaheuristic computation will appreciate that the techniques discussed are beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas.
商品描述(中文翻譯)
元啟發式演算法被視為通用的優化工具，能夠解決特徵為擁有非常大搜尋空間的複雜問題。元啟發式方法透過有效的搜尋策略來減少有效的搜尋空間大小。
書籍特色：
- 提供目前使用的最受歡迎的元啟發式方法的統一視角
- 包含必要的概念，使讀者能夠實現和修改已知的元啟發式方法以解決問題
- 涵蓋在 MATLAB(R) 中的設計方面和實現
- 包含大量問題和解決方案的範例，展示這些優化方法的強大能力
本書從教學的角度撰寫，因此主要針對人工智慧、元啟發式方法和/或進化計算的本科生和研究生。目標是彌合元啟發式技術與從元啟發式方法的便利特性中受益的複雜優化問題之間的鴻溝。因此，對於不熟悉元啟發式計算的工程實務者來說，所討論的技術超越了簡單的理論工具，因為它們已被調整以解決在這些領域中常見的重要問題。
作者簡介
Erik Cuevas is a professor in the Department of Electronics at the University of Guadalajara, Mexico.
Alma Rodríguez is a PhD candidate in electronics and computer science at the University of Guadalajara, Mexico.
作者簡介(中文翻譯)
埃里克·庫瓦斯是墨西哥瓜達拉哈拉大學電子系的教授。
阿爾瑪·羅德里格斯是墨西哥瓜達拉哈拉大學電子與計算機科學的博士候選人。
