Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Artificial Intelligence Applications
暫譯: 使用智能數據驅動方法進行決策的優化與計算：人工智慧應用
Ali, Irfan, Modibbo, Umar Muhammad, Bolaji, Asaju La'aro
商品描述
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility.
This book:
- Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing.
- Presents a comparative analysis of machine learning algorithms for the power consumption prediction.
- Discusses machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment.
- Illustrates a data-driven optimization concept for modeling environmental and economic sustainability.
- Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals.
The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.
商品描述(中文翻譯)
這本書全面討論了自然啟發的演算法、深度學習方法、數學規劃的應用以及人工智慧技術。它還將涵蓋重要主題，例如將綠色供應鏈管理實踐與競爭力、工業4.0和社會責任聯繫起來。
這本書：
- 解決實際問題，例如使用智能計算進行供應鏈管理、起飛和醫療分析。
- 提供機器學習演算法在電力消耗預測中的比較分析。
- 討論基於機器學習的多目標優化技術，用於在整合的雲端環境中進行負載平衡。
- 說明一個數據驅動的優化概念，用於建模環境和經濟的可持續性。
- 解釋啟發式和元啟發式在供應鏈網絡中的應用，以及模糊優化在可持續發展目標中的使用。
本書主要針對研究生和來自不同領域的學術研究者，包括電機工程、電子與通信工程、數學與統計、計算機科學與工程。
作者簡介
Irfan Ali earned his B.Sc., M.Sc., M.Phil., and Ph.D. degrees from Aligarh Muslim University. He is currently a working faculty member with the Department of Statistics and Operations Research, Aligarh Muslim University. He received the Post-Graduate Merit Scholarship Award during his M.Sc. (statistics) and the UGC-BSR Scholarship Award during his Ph.D. (statistics) program. His research interests include applied statistics, survey sampling, reliability theory, supply chain networks and management, mathematical programming, fuzzy optimization, and multi-objective optimization. He has supervised M.Sc., M.Phil., and Ph.D. students in operations research. He completed a research project UGC-Start-Up Grant Project, UGC, New Delhi, India. He published more than 100 research articles in SCI/SCIE and other reputed journals and serves as a reviewer for several journals. He has published some edited books with international publishers, and some are in the process of publication. He published a textbook entitled Optimization with LINGO 18 Problems and Applications. This book is helpful for academicians, practitioners, students, and researchers in the field of OR. He is a lifetime member of various professional societies: Operational Research Society of India, Indian Society for Probability and Statistics, Indian Mathematical Society, and The Indian Science Congress Association. He has delivered invited talks at several universities and institutions. He also serves as associate editor for some journals and guest editor for SCI/SCIE.
Umar Muhammad Modibbo is a Senior Lecturer at the Modibbo Adama University, Yola, Nigeria. He earned his Ph.D. in Operations Research at the Aligarh Muslim University, Aligarh, India, in 2022. He earned his Master of Technology (M.Tech.) and Bachelor of Technology (B.Tech.) degrees in Operations Research at the Federal University of Technology, Yola, Nigeria (now The Modibbo Adama University, Yola) in 2016 and 2010, respectively. He is a recipient of the university's grant to study M.Tech. Operations Research in 2014 and a Nigerian Tertiary Education Trust Fund (TETFund) to study Ph.D. Operations Research in 2018. He received the Young Researcher Award and the Research Excellence Award from the Institute of Scholars (InSc), India, in 2020. He specialized in Applied Mathematical Programming and Computing. His research areas include mathematical programming and its applications, Soft computing, reliability optimization, fuzzy programming, multi-objective optimization, inventory and supply chain management, renewable energy, circular economy, Sustainable Development Goals and sustainability. He is Fellow and President of the Operations Research Institute for Decision Sciences & Analytics of Nigeria (ORIDSAN) and a lifetime and Execrative Member of the African Federation of Operations Research Societies (AFROS) and the International Federation of Operational Research Societies (IFORS). He has published over 40 research articles in journals of national and international repute with over 800 Google Scholar citations. He delivered an invited talk and attended conferences and workshops in his domain area. He is a reviewer of many journals. He is currently writing a book on the United Nations Sustainable Development Goals.
Asaju Bolaji La'aro earned his Ph.D. in Computer Science, majoring in Artificial Intelligence and Operations Research from the University of Science Malaysia, in 2014. He earned his M.Sc. in Mathematics at the University of Ilorin in 2006 and B.Sc. in Physics/Computer Science at the Federal University of Technology, Minna, in 2000. Prof. Asaju is currently the Dean of the Faculty of Computing and Information Systems, at Federal University Wukari, Taraba State. He is also the Head of the AI and OR Research Group (ECRG), which publishes numerous scientific publications in high-quality and well-reputed journals and conferences. Prof. Asaju has over 21 years of teaching experience in higher education institutions. He has taught several Computer Science and Artificial Intelligence courses at the university. In addition to his research, teaching, and administrative capabilities, Prof. Asaju has special strength in developing web-based applications that build more than 12 academic web systems related to research, quality assurance, e-learning, for postgraduate students, and poses vast experience in administrative activities.
Harish Garg is an Associate Professor at Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India. He is ranked in the world's top 2% scientists list and ranked No. 1 in India and No. 229 in World Rank, which was published by Stanford University in four consecutive years: 2020, 2021, 2022, and 2023. He received the Most Outstanding Researcher Award in the field of Mathematics from Carrer 360 Academy. He is also the recipient of the International Obada-Prize 2022 ・ Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015・2019) from Elsevier publisher. He serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). He is a Research Fellow at the INTI International University, Malaysia. His research interests include computational intelligence, multi-criteria decision-making, evolutionary algorithms, reliability analysis, expert systems and decision support systems, computing with words, and soft computing. He has authored more than 520 papers (over 500 are SCI) published in refereed international journals, including IEEE Transactions, Elsevier, and Springer. His Google citations are over 24,490 with H-index ・ 88. He is one of the leading researchers in the world related to the MCDM and soft computing approaches. He also serves on editorial boards of several leading international journals. He is the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Journal of Industrial & Management Optimization, CAAI Transactions on Intelligence Technology, etc. For more details about him, kindly follow his webpage https: //sites.google.com/site/harishg58iitr/home
作者簡介(中文翻譯)
Irfan Ali 於阿里格爾穆斯林大學獲得學士、碩士、哲學碩士及博士學位。他目前是阿里格爾穆斯林大學統計與運籌研究系的教職員。他在碩士（統計學）期間獲得研究生優秀獎學金，並在博士（統計學）課程中獲得UGC-BSR獎學金。他的研究興趣包括應用統計、調查取樣、可靠性理論、供應鏈網絡與管理、數學規劃、模糊優化及多目標優化。他曾指導碩士、哲學碩士及博士生進行運籌研究。他完成了一個UGC啟動資助項目，並在SCI/SCIE及其他知名期刊上發表了超過100篇研究文章，並擔任多個期刊的審稿人。他與國際出版商出版了一些編輯書籍，部分書籍正在出版中。他出版了一本名為Optimization with LINGO 18 Problems and Applications的教科書，對於運籌領域的學者、實務工作者、學生及研究人員都非常有幫助。他是多個專業學會的終身會員，包括印度運籌學會、印度概率與統計學會、印度數學學會及印度科學大會協會。他曾在多所大學和機構發表邀請演講，並擔任一些期刊的副編輯及SCI/SCIE的客座編輯。
Umar Muhammad Modibbo 是尼日利亞莫迪博阿達馬大學的高級講師。他於2022年在阿里格爾穆斯林大學獲得運籌研究的博士學位。他於2016年和2010年在尼日利亞聯邦科技大學（現為莫迪博阿達馬大學）獲得運籌研究的技術碩士（M.Tech.）和技術學士（B.Tech.）學位。他是該大學2014年獲得的M.Tech.運籌研究學習資助的受助者，並於2018年獲得尼日利亞高等教育信託基金（TETFund）資助攻讀博士學位。他於2020年獲得印度學者研究所（InSc）頒發的青年研究者獎及研究卓越獎。他專攻應用數學規劃與計算，研究領域包括數學規劃及其應用、軟計算、可靠性優化、模糊規劃、多目標優化、庫存與供應鏈管理、可再生能源、循環經濟、可持續發展目標及可持續性。他是尼日利亞運籌研究決策科學與分析研究所（ORIDSAN）的院士及會長，也是非洲運籌學會聯盟（AFROS）及國際運籌學會聯盟（IFORS）的終身及執行會員。他在國內外知名期刊上發表了超過40篇研究文章，Google Scholar引用次數超過800次。他曾發表邀請演講並參加相關領域的會議和研討會。他是多個期刊的審稿人，目前正在撰寫一本有關聯合國可持續發展目標的書籍。
Asaju Bolaji La'aro 於2014年在馬來西亞科學大學獲得計算機科學博士學位，主修人工智慧與運籌研究。他於2006年在伊洛林大學獲得數學碩士學位，並於2000年在聯邦科技大學米納獲得物理/計算機科學學士學位。Asaju教授目前是塔拉巴州聯邦大學計算與資訊系統學院的院長，也是人工智慧與運籌研究小組（ECRG）的負責人，該小組在高品質及知名期刊和會議上發表了大量科學出版物。Asaju教授在高等教育機構擁有超過21年的教學經驗，曾教授多門計算機科學及人工智慧課程。除了研究、教學及行政能力外，Asaju教授在開發基於網頁的應用程式方面具有特別的優勢，建立了超過12個與研究、質量保證及研究生電子學習相關的學術網頁系統，並在行政活動方面擁有豐富的經驗。
Harish Garg 是印度旁遮普州帕提亞拉的塔帕爾工程與技術學院的副教授。他在全球前2%的科學家名單中排名，並在印度排名第一，世界排名第229，該排名由斯坦福大學在2020、2021、2022及2023年連續四年發布。他獲得了Carrer 360學院頒發的數學領域最傑出研究者獎。他還獲得了2022年國際Obada獎年輕傑出研究者獎。他還獲得了由Elsevier出版的印度作者的高引用論文獎（2015-2019）。他擔任全球科學教育與研究網絡（USERN）的顧問委員會成員，並是馬來西亞INTI國際大學的研究院士。他的研究興趣包括計算智能、多準則決策、進化算法、可靠性分析、專家系統及決策支持系統、語言計算及軟計算。他已發表超過520篇論文（超過500篇為SCI），發表於包括IEEE Transactions、Elsevier及Springer等國際期刊。他的Google引用次數超過24,490，H指數為88。他是與多準則決策（MCDM）及軟計算方法相關的世界領先研究者之一，並在多個知名國際期刊的編輯委員會中任職。他是Journal of Computational and Cognitive Engineering的創始主編，並擔任Alexandria Engineering Journal、Journal of Intelligent & Fuzzy Systems、Journal of Industrial & Management Optimization、CAAI Transactions on Intelligence Technology等期刊的副編輯。欲了解更多信息，請訪問他的網頁 https://sites.google.com/site/harishg58iitr/home
