Handbook of Formal Optimization
Kulkarni, Anand J., Gandomi, Amir H.
- 出版商: Springer
- 出版日期: 2024-09-06
- 售價: $18,750
- 貴賓價: 9.5 折 $17,813
- 語言: 英文
- 頁數: 1402
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819738199
- ISBN-13: 9789819738199
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商品描述
The formal optimization handbook is a comprehensive guide that covers a wide range of subjects. It includes a literature review, a mathematical formulation of optimization methods, flowcharts and pseudocodes, illustrations, problems and applications, results and critical discussions, and much more. The book covers a vast array of formal optimization fields, including mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and their applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field.
商品描述(中文翻譯)
這本正式優化手冊是一本涵蓋廣泛主題的綜合指南。它包括文獻回顧、優化方法的數學公式化、流程圖和偽代碼、插圖、問題和應用、結果和批判性討論等內容。該書涵蓋了廣泛的正式優化領域,包括數學和貝葉斯優化、神經網絡和深度學習、遺傳算法及其應用、混合優化方法、組合優化、優化方法中的約束處理以及基於群體的優化。這本手冊是專家和非專業人士的優秀參考資料,因為它提供了刺激性的內容。該書還涵蓋了研究趨勢、挑戰和前景主題,使其成為那些希望擴展在這一領域知識的人的寶貴資源。
作者簡介
Anand J Kulkarni holds a PhD in Artificial Intelligence (AI) based Distributed Optimization from Nanyang Technological University, Singapore, MS in AI from the University of Regina, Canada. He worked as a Postdoctoral Research Fellow at Odette School of Business, University of Windsor, Canada. Anand has a Bachelor of Engineering in Mechanical Engineering from the Shivaji University, India, and holds a Diploma from the Board of Technical Education, Mumbai, India. Since 2021, he has been working as a Research Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include AI-based nature-inspired optimization algorithms and self-organizing systems. Anand pioneered optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, Socio Evolution & Learning Optimization Algorithm, Leader-Advocate-Believer Algorithm, and Snail Homing and Mating Search Algorithm. Anand has published over 80 research papers in peer-reviewed reputed journals, chapters, and conferences along with 7 authored and 15 edited books. He has so far guided 6 doctoral, 10 masters, and over 100 UG students. Anand is the lead series editor for Springer and Taylor & Francis as well as associate editor of Elsevier journals such as 'Engineering Applications of Artificial Intelligence' and 'Systems and Soft Computing' as well as IOS Press KES journal. He is the recipient of the best paper award in IEEE ICNSC, Chicago, USA, and 'The Swatantry Veer Savarkar Award' 2023 by 'Pune Marathi Granthalay', Pune for his Marathi book entitled 'Artificial Intelligencechya Watewar'.
Amir H. Gandomi is a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Before joining UTS, Prof. Gandomi was an Assistant Professor at the Stevens Institute of Technology and a distinguished research fellow at BEACON Center, Michigan State University. Prof. Gandomi has published 400+ journal papers and 14 books. He has received multiple prestigious awards for his research excellence and impact, such as the 2023 Achenbach Medal and the 2022 Walter L. Huber Prize, the highest-level mid-career research award in all areas of civil engineering. He has served as associate editor, editor, and guest editor in several prestigious journals. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are data analytics and global optimization (big) in real-world problems in particular.
作者簡介(中文翻譯)
Anand J Kulkarni擁有新加坡南洋理工大學的人工智慧(AI)分散式優化博士學位,以及加拿大Regina大學的人工智慧碩士學位。他曾在加拿大溫莎大學奧德特商學院擔任博士後研究員。Anand擁有印度Shivaji大學的機械工程學士學位,以及印度孟買技術教育委員會的文憑。自2021年以來,他一直在印度普那的MITWPU人工智慧研究所擔任研究教授和副所長。他的研究興趣包括基於AI的自然啟發優化算法和自組織系統。Anand開創了優化方法,如Cohort Intelligence、Ideology Algorithm、Expectation Algorithm、Socio Evolution & Learning Optimization Algorithm、Leader-Advocate-Believer Algorithm和Snail Homing and Mating Search Algorithm。Anand在同行評審的知名期刊、章節和會議上發表了80多篇研究論文,並出版了7本著作和15本編輯的書籍。他迄今為止指導了6名博士生、10名碩士生和100多名本科生。Anand是Springer和Taylor & Francis的主編系列編輯,也是Elsevier期刊《Engineering Applications of Artificial Intelligence》和《Systems and Soft Computing》以及IOS Press KES期刊的副編輯。他曾獲得IEEE ICNSC芝加哥分會的最佳論文獎,以及普內馬拉地語圖書館頒發的2023年《Artificial Intelligencechya Watewar》馬拉地語書籍的《The Swatantry Veer Savarkar Award》。
Amir H. Gandomi是悉尼科技大學工程與資訊技術學院的數據科學教授和ARC DECRA Fellow。在加入UTS之前,Gandomi教授曾在史蒂文斯理工學院擔任助理教授,並在密歇根州立大學的BEACON中心擔任傑出研究員。Gandomi教授發表了400多篇期刊論文和14本書籍。他因其研究卓越和影響力而獲得多個重要獎項,例如2023年的Achenbach Medal和2022年的Walter L. Huber Prize,這是土木工程領域所有中期職業研究獎項中最高級別的獎項。他曾擔任多個知名期刊的副編輯、編輯和客座編輯。Gandomi教授積極參與發表主題演講和邀請演講。他的研究興趣主要集中在實際問題中的數據分析和全球優化(大)。