Swarm Intelligence: Principles, Advances, and Applications
暫譯: 群體智慧：原則、進展與應用

Hassanien, Aboul Ella, Emary, Eid

Swarm Intelligence: Principles, Advances, and Applications

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商品描述

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then:

 

 






     
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  • Describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible





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  • Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers





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  • Depicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function design





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  • Details the similarities, differences, weaknesses, and strengths of each swarm optimization method





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  • Draws parallels between the operators and searching manners of the different algorithms

 

 

 

 

Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods, complete with illustrative examples and an extendable MATLAB(R) package for feature selection in wrapper mode applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm intelligence fundamentals, and offers experts valuable insight into new directions and hybridizations.

 

 

商品描述(中文翻譯)

《群體智慧：原則、進展與應用》深入探討了蝙蝠、人工魚群、螢火蟲、杜鵑搜尋、花朵授粉、人工蜜蜂群、狼搜尋和灰狼優化算法。該書首先簡要介紹了數學優化，涵蓋與群體智慧相關的基本概念，如隨機性、隨機漫步和混沌理論。接著，文本內容包括：

- 描述各種群體智慧優化方法，盡可能標準化變體、混合和算法。
- 討論更專注於二進制、離散、約束、自適應和混沌版本的群體優化器的變體。
- 描述各個優化器的實際應用，強調變數選擇和適應度函數設計。
- 詳細說明每種群體優化方法的相似性、差異、弱點和優勢。
- 將不同算法的運算子和搜尋方式進行比較。

《群體智慧：原則、進展與應用》全面介紹了現代群體智慧優化方法，配有示例和可擴展的 MATLAB(R) 套件，用於在不同數據集上以包裝模式進行特徵選擇，並使用不同的評估標準進行基準測試。該書為初學者提供了群體智慧基礎的堅實基礎，並為專家提供了有關新方向和混合化的寶貴見解。

作者簡介

Aboul Ella Hassanien is a full professor in the Information Technology Department of the Faculty of Computers and Information at Cairo University, Giza, Egypt. Widely published and highly decorated, he is the founder and chair of the Scientific Research Group in Egypt, has established the Egyptian Rough Sets Society, and is chairing the Egyptian International Rough Set Society Chapter. He has served as a general chair, co-chair, program chair, and program committee member of various international conferences, and as a reviewer and guest editor for numerous international journals. His research interests include computational intelligence, network security, animal identification, and more.

 

 

Eid Emary is currently a lecturer in the Information Technology Department of the Faculty of Computers and Information at Cairo University, Giza, Egypt. He has authored or co-authored more than 15 research publications in peer-reviewed journals, book chapters, and conference proceedings. He has served as a technical program committee member of various international conferences, and as a reviewer for numerous international journals. His research interests are in the areas of computer vision, mathematical optimization, pattern recognition, video and image processing, machine learning, data mining, and biometrics.

 

 

作者簡介(中文翻譯)

Aboul Ella Hassanien 是埃及吉薩開羅大學計算機與信息學院信息技術系的全職教授。他發表了大量的研究成果並獲得多項榮譽，是埃及科學研究小組的創始人及主席，並成立了埃及粗集社會，擔任埃及國際粗集社會分會的主席。他曾擔任多個國際會議的總主席、聯合主席、程序主席及程序委員會成員，並擔任多本國際期刊的審稿人及客座編輯。他的研究興趣包括計算智能、網絡安全、動物識別等。

Eid Emary 目前是埃及吉薩開羅大學計算機與信息學院信息技術系的講師。他在同行評審的期刊、書籍章節和會議論文中發表或共同發表了超過15篇研究論文。他曾擔任多個國際會議的技術程序委員會成員，並擔任多本國際期刊的審稿人。他的研究興趣涵蓋計算機視覺、數學優化、模式識別、視頻和圖像處理、機器學習、數據挖掘及生物識別等領域。

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