Optimization Methods and Algorithms
暫譯: 優化方法與演算法
Kulkarni, Anand J.
- 出版商: Springer
- 出版日期: 2025-10-10
- 售價: $4,340
- 貴賓價: 9.5 折 $4,123
- 語言: 英文
- 頁數: 118
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819691931
- ISBN-13: 9789819691937
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相關分類:
數值分析 Numerical-analysis
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作者簡介
Anand J. Kulkarni holds a PhD in Artificial Intelligence (AI) based Distributed Optimization from Nanyang Technological University, Singapore, an MS in AI from the University of Regina, Canada, a Bachelor of Mechanical Engineering from Shivaji University, India, and a Diploma from the Board of Technical Education, Mumbai. He worked as a Postdoctoral Research Fellow at the Odette School of Business, University of Windsor, Canada, and spent over six years at Symbiosis International University, Pune, India. Dr. Kulkarni is a Research Professor and Associate Director of the Institute of Artificial Intelligence at MITWPU, Pune, India. His research interests include AI-based nature-inspired optimization algorithms and self-organizing systems. Anand has pioneered several optimization methodologies, including Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, and Socio-Evolution & Learning Optimization Algorithm. As the founder of OAT Research Lab, Anand has published over 70 research papers in peer-reviewed journals, book chapters, and conference proceedings, along with authoring 6 books and editing 12 others. He serves as the lead series editor for the journals and book series of reputed publishers. In addition to his academic contributions, Anand writes on AI topics for various newspapers and magazines and has delivered expert research talks in countries including the USA, Canada, Singapore, Malaysia, India, Australia, Dubai, and France.
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)基礎分散優化博士學位,加拿大雷吉納大學的人工智慧碩士學位,印度希瓦吉大學的機械工程學士學位,以及孟買技術教育委員會的文憑。他曾在加拿大溫莎大學的奧德特商學院擔任博士後研究員,並在印度浦那的共生國際大學工作超過六年。Kulkarni 博士是印度浦那 MITWPU 人工智慧研究所的研究教授及副所長。他的研究興趣包括基於人工智慧的自然啟發優化演算法和自組織系統。Anand 開創了幾種優化方法,包括群體智慧(Cohort Intelligence)、意識形態演算法(Ideology Algorithm)、期望演算法(Expectation Algorithm)以及社會演化與學習優化演算法(Socio-Evolution & Learning Optimization Algorithm)。作為 OAT 研究實驗室的創始人,Anand 在同行評審的期刊、書籍章節和會議論文中發表了超過 70 篇研究論文,並著作了 6 本書,編輯了 12 本書。他擔任多家知名出版社期刊和書籍系列的首席系列編輯。除了學術貢獻外,Anand 還為各種報紙和雜誌撰寫有關人工智慧的主題,並在美國、加拿大、新加坡、馬來西亞、印度、澳大利亞、杜拜和法國等國家發表專家研究演講。