1st Edition

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

    256 Pages 37 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 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. 

    1.     Linking green supply chain Management practices with competitiveness, industry 4.0 and social responsibility

    Shabnam Rekabi, Kurosh Mokhtari, Fariba Goodarzian


    2.     Comparative Analysis of Machine Learning Algorithms for the Power Consumption Prediction

    M. A. Hambali, I. W. Andrew and Y. A. Olasupo


    3.     Prediction Of Cardiovascular Disease Using Information Gain, Artificial Neural Network And Cart 5.0 Algorithm

    Bolaji, Asaju La’aro, Andrew Ishaku Wreford, Bridget Michael-Ogbonna


    4.     Weighting of Logistics Management Factors By SWARA and DELPHI Methods

    Hakan TURAN and Tayfun UTAŞ


    5.     Evaluation of Daily Management with Standard Deviation and MOOSRA Tools in Hospitals

    Hakan TURAN and Tayfun UTAŞ


    6.     Machine Learning-Based Multi-Objective Optimization Technique For Load Balancing In Integrated Fog Cloud Environment

    NivaTripathy, Subhranshu Sekhar Tripathy and Satyananda Champati Rai


    7.     Perishable Inventory Fuzzy Optimization Model with Uncertain Deterioration and Preservation Investment.

    Anshika Singh and Abhinav Goel

    8.     Employing Fuzzy Inference System in Ant Colony Optimization for Travelling Salesman Problems

    M. K. Sharma, Vansh Verma, Tarun Kumar, Laxmi Rathour and Vishnu Narayan Mishra


    9.     Type-2Gaussian Neurofuzzy VIKOR Technique in Multi-Criteria Decision Making for Medical Diagnostic

    Nivedita, Seema Agrawal, M. K. Sharma, Laxmi Rathour, and Vishnu Narayan Mishra


    10.  Overviewing AI and Explainable AI Decision-Making XAIDM

    Mohammad Mahdi Sadeghi, Kurosh Mokhtari, and Fariba Goodarzian


    11.  Harnessing the Power of Industry 4.0: Synergizing Smart Manufacturing, Supply Chain, and Reshoring Strategies

    Sadaf Farboodi, Fariba Goodarzian, and Alireza Abbaszadeh Molaei


    12.  Digital Revolution In Cold Supply Chain Management Related To The Food Industry

    Alireza Abbaszadeh Molaei, Fariba Goodarzian, and Sadaf Farboodi


    13.  The impact of blockchain technology and decentralized supply chain on production Kourosh Mokhtari, Seyydeh Atefeh Mousavi Abandansari, Fariba Goodarzian


    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.