Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Optimization Applications
暫譯: 智能數據驅動方法在決策中的優化與計算：優化應用

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。它進一步涵蓋了重要主題，例如機器學習和物聯網的使用，以及在猶豫的費馬模糊和不確定環境下的多目標優化。

這本書：

- 解決實際問題，例如供應鏈管理、智慧製造和醫療分析，使用智能計算，並討論在旅行推銷員問題中使用螞蟻群優化的模糊推理系統的解決方案。
- 提供人工智慧（AI）和可解釋的人工智慧決策（Explainable AI Decision-Making, XAIDM）的概述，並說明一個以數據為驅動的優化概念，用於建模環境和經濟可持續性。
- 討論基於機器學習的多目標優化技術，用於集成霧雲環境中的負載平衡。
- 解釋啟發式和元啟發式在供應鏈網絡中的使用，以及在可持續發展目標中使用模糊優化。
- 討論危險廢物的可持續運輸、綠色分數運輸系統、易腐爛庫存、功能回歸運算子的M估計以及直覺模糊集的應用。

本書主要針對研究生和來自不同領域的學術研究人員，包括運籌學、數學、統計學、計算機科學、資訊與通信技術以及工業工程。

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

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。他完成了一個名為UGC「啟動資助計畫」的研究項目，該計畫由印度新德里的UGC提供資助。他在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，這本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。他是該大學於2014年提供的M.Tech.運籌研究學習資助的獲得者，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。他的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，並獲得超過800次Google Scholar引用。他曾發表邀請演講，並參加其領域的會議和研討會。他是多個期刊的審稿人，目前正在撰寫一本關於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，同時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，曾在大學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1，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。他獲得了來自Carrer 360學院的數學領域最傑出研究者獎。他還是2022年國際Obada獎年輕傑出研究者的獲得者。他還獲得了來自Elsevier出版商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國際大學的研究學者。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），這些論文發表在經過審核的國際期刊上，包括IEEE Transactions、Elsevier及Springer。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。他還擔任多個知名國際期刊的編輯委員會成員。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