1st Edition

Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Optimization Applications

    448 Pages 53 B/W Illustrations
    by CRC Press

    This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment.

    This Book:

    • Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the Fuzzy Inference System in Ant Colony Optimization for Travelling Salesman Problems
    • Presents an overview of AI and Explainable AI Decision-Making XAIDM and illustrates a data-driven optimization concept for modelling environmental and economic sustainability.
    • Discusses Machine Learning based Multi Objective Optimization Technique for Load Balancing in Integrated Fog Cloud Environment.                                                  
    • Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals.
    • Discusses Sustainable Transit of Hazardous Waste, Green Fractional Transportation System, Perishable Inventory, M-Estimation of Functional Regression Operator and Intuitionistic Fuzzy Sets applications.

    The text is primarily written for graduate students, and academic researchers in diverse fields including operations research, mathematics, statistics, computer science, information and communication technology and industrial engineering. 

    1.     M-Estimation of Functional Regression Operator with Responses Missing at Random

    Subhra Sankar Dhar and Shalabh

     

    2.     A Multi-Objective Solid Transportation Problem for the Sustainable Transit of Hazardous Waste in the Complex Fermatean Hesitant Fuzzy Environment

    M.K. Sharma, Sadhna Chaudhary

     

    3.     A Framework of Hybrid Metaheuristic H - Gey Optimization for Embedding Factor Decision Making in Digital Image Watermarking on Social Media

    Kilari Jyothsna Devi, Priyanka Singh

     

    4.     New Cosine Similarity Measures For Intuitionistic Fuzzy Sets With Application In Decision Making

    S. Ahemen, R. Ujah, P. A. Ejegwa

     

    5.     Multi-Objective Optimization Problems in Focus: Meaning, Approaches, and Implementation

    Ismail Olaniyi MURAINA

     

    6.     Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

    Sourena Rahmani, Hamed Aghalar, Sahel Jebreili, Alireza Goli

     

    7.     Evaluation of Factors Affecting Destination Selection in Medical Tourism with Spherical Fuzzy Analytic Hierarchy Process Method

    Bilal Saraç and Seher Gülenç

     

    8.     Effect Of Artificial Intelligence On Education

    Santu Karmakar and Tapash Das

     

    9.     Unleashing the Power of IoT: Transforming Industries and Enabling Connected Environments

    Abdussalam Abba Tukur

     

    10.   A multi-Echelon Multi-Objective Sustainable Supply Chain Considering Traffic Congestion

    Meraj Hejazi, Fatemeh Harsej, Seyed Ehsan Mirani, Hassan Ahmadi Choukolaei, and Peiman Ghasemi

     

    11.  Digital supply chain management in manufacturing industries

    Seyydeh Atefeh Mousavi Abandansari, Kourosh Mokhtari, FaribaGoodarzian

     

    12.  A Green Fractional Transportation System Under Dual Hesitant Fermatean Fuzzy Configuration with Safety Factor

    M.K. Sharma, Sadhna Chaudhary

     

    13.  Application of Hybrid SVM-LR Algorithm for Sentiment Analysis

    P. A. Ashoshi and M. A. Hambali

    Biography

    Irfan Ali received 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 multiobjective optimization. He has supervised M.Sc., M.Phil., and Ph.D. students in operations research. He has completed a research project UGC–Start-Up Grant Project, UGC, New Delhi, India. He has 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 for Taylor France and Springer Nature publishers, and some are in the process of publication. He has currently published one textbook “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 in several universities and Institutions. He also serves as some journals' Associate Editor and Guest Editor for SCI/SCIE.

    Umar Muhammad Modibbo is a Lecturer at the Modibbo Adama University, Yola, Nigeria. He received his PhD in Operations Research at the Aligarh Muslim University, Aligarh, India, in 2022. He obtained 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. Dr Modibbo is a recipient of the University grant to study M.Tech. Operations Research in 2014, a Nigerian Tertiary Education Trust Fund (TETFund) to study PhD. Operations Research in 2018. He received a Young Researcher Award and a Research Excellence Award from the Institute of Scholars (InSc) India 2020. He specialized in Applied Mathematical Programming and Computing. His research areas include Mathematical Programming and its Applications, Reliability Optimization, Fuzzy Programming, Multi-objective Optimization, Inventory and Supply Chain Management, Renewable Energy, Circular Economy, and Sustainability. He is a Fellow and President of the Operations Research Institute for Decision Sciences & Analytics of Nigeria [ORIDSAN], a lifetime and Execrative Member of the African Federation of Operations Research Societies [AFROS], and International Federation of Operational Research Societies [IFORS]. He has published over 40 research articles in journals of national and international repute with over 500 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 received his Ph.D. in Computer Science, in 2014 majoring in Artificial Intelligence and Operations Research from the University of Science Malaysia. He received his M.Sc. in Mathematics at the University of Ilorin in 2006, and B.Sc. 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, postgraduate, and vast experience in administrative activities.

    Harish Garg is working as an Associate Professor at Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India. He is ranked in the World's Top 2% Scientist List and Rank #1 in India & World Rank #229 published by Stanford University in the consecutive four years 2020, 2021, 2022, 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 also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). He is the Research Fellow of INTI International University, Malaysia. Dr. Garg's 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, Springer etc.  His Google citations are over 24490 with H-index- 88. He is one of the leading researchers in the world related to the MCDM and soft computing approaches. Dr. Garg also serves on editorial boards of several leading international journals, this includes 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.