Metaheuristics and Optimization in Computer and Electrical Engineering: Volume 2: Hybrid and Improved Algorithms
暫譯: 計算機與電機工程中的元啟發式與優化:第二卷:混合與改進演算法
Razmjooy, Navid, Ghadimi, Noradin, Rajinikanth, Venkatesan
- 出版商: Springer
- 出版日期: 2024-10-08
- 售價: $6,440
- 貴賓價: 9.5 折 $6,118
- 語言: 英文
- 頁數: 491
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031426878
- ISBN-13: 9783031426872
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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 discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new era of "metaheuristics" has emerged. Through researched-based techniques and collaborative problem-solving, this book helps engineers to find efficient solutions to their engineering challenges. With the help of an expert guide and the collective knowledge of the engineering community, this comprehensive guide shows readers how to use machine learning and other AI techniques to reinvent smart engineering. From understanding the fundamentals to mastering the latest metaheuristics models, this guide provides with the skills and knowledge that need to stay ahead in the technology race. In the previous volume, authors focused on the application of original metaheuristics on electrical and computer sciences. This volume learns how AI and modified metaheuristics can be used to optimize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It maximizes the potential of readers' computer and electrical engineering projects with powerful metaheuristics and optimization techniques.
商品描述(中文翻譯)
本書探討了修改原始元啟發式演算法的不同方法及其在計算機和電氣工程中的應用。隨著開發先進技術的競賽加速,一個新的「元啟發式演算法」時代已經出現。通過基於研究的技術和協作解決問題,本書幫助工程師找到高效的解決方案來應對他們的工程挑戰。在專家指導和工程社群的集體知識的幫助下,這本綜合指南向讀者展示如何利用機器學習和其他人工智慧技術來重新定義智能工程。從理解基本原理到掌握最新的元啟發式模型,本指南提供了在技術競賽中保持領先所需的技能和知識。在前一卷中,作者專注於原始元啟發式演算法在電氣和計算機科學中的應用。本卷則學習如何利用人工智慧和修改過的元啟發式演算法來優化演算法並創造更高效的電氣工程設計。它提供了如何有效處理數據的見解,並發現創建複雜自動化系統的新技術。它利用強大的元啟發式演算法和優化技術,最大化讀者在計算機和電氣工程項目中的潛力。