Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
Cuevas, Erik, Luque, Alberto, Morales Castañeda, Bernardo
- 出版商: Springer
- 出版日期: 2024-06-27
- 售價: $6,860
- 貴賓價: 9.5 折 $6,517
- 語言: 英文
- 頁數: 297
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031630521
- ISBN-13: 9783031630521
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相關分類:
Algorithms-data-structures
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相關主題
商品描述
This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation concepts will appreciate that the techniques discussed are beyond simple theoretical tools because they have been adapted to solve significant problems that commonly arise in engineering areas.
商品描述(中文翻譯)
本書包含三個獨立但相互關聯的目標。首先,它旨在介紹和闡明具有創新搜索機制的新型元啟發式算法,使其與傳統元啟發式方法區分開來。其次,本書試圖系統地評估在一系列複雜且現實世界問題上表現良好的算法。最後,本書作為分析和評估元啟發式算法的重要資源。它提供了評估其性能的基礎框架,特別是在探索和利用之間的平衡以及獲取最佳解的能力方面。總的來說,這些目標有助於推進我們對元啟發式方法及其在解決各種需求嚴格的優化任務中的應用的理解。這些材料是從教學角度編輯的。因此,本書主要面向理學、電機工程或計算數學的本科和研究生學生。此外,不熟悉元啟發式計算概念的工程實踐者將會欣賞到所討論的技術超越了簡單的理論工具,因為它們已經適應解決在工程領域常見的重要問題。