1st Edition

Advanced Mathematical Techniques in Computational and Intelligent Systems

    284 Pages 37 B/W Illustrations
    by CRC Press

    This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.

    • Discusses advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems.
    • Provides a useful guide toward the development of a sustainable model for disaster management.
    • Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries.
    • Covers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory.
    • Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing.

    Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

    1. Increasing the order of convergence of three step modified Potra-Ptak-Chebyshev methods for systems and equations.
    Deepak Kumar, Sunil Kumar and R. Ishwariya
    2. Mathematical model to distinguish the symptomatic patient of COVID-19.
    Savita Bishnoi, Sukhpreet Kaur Sidhu and Sandeep Singh
    3. Maximum cost cell Method for IBFS of Transportation Problems.
    Lakhveer Kaur
    4. Optimization Techniques and Applications to Solve Real-World Industrial Optimization Problems.
    Prashanth N.A and Madhu Palati
    5. A Method to Solve Trapezoidal Transshipment Problem under Uncertainty.
    K. Kaur and S. Singh
    6. Enhancing the Security of Public Key Cryptographic Model based on Integrated ElGamal-Elliptic Curve Diffe Hellman (EG-ECDH) Key Exchange Technique.
    Kshitish Kumar Mohanta, Deena Sunil Sharanappa and Vishnu Narayan Mishra
    7. An investigation of fractional ordered biological systems using a robust semi-analytical technique.
    Patel Yogeshwari F. and Jayesh M. Dhodiya
    8. Variable Selection in Multiple Nonparametric Regression Modelling.
    Subhra Sankar Dhar, Shalabh, Prashant Jha and Aranyak Acharyya
    9. Mathematical Modeling of Regulation of Sulfur Metabolic Pathways.
    Sanjay Lamba and Suparna Maji
    10. Some Results on Quasi Convergence in Gradual Normed Linear Spaces.
    Ömer Kişi and Erhan Güler
    11. On Einstein Gyrogroup.
    K. Mavaddat Nezhaad and A. R. Ashrafi
    12. On the norms of Toeplitz and Hankel matrices with
    balancing and Lucas-balancing numbers.
    Munesh Kumari, Kalika Prasad and Hrishikesh Mahato
    13. Grey Wolf Optimizer for the design optimization of a
    DC-DC Buck Converter.
    B.J. Saharia, D. M. Dutta and N. Sarmah
    14. A new modified Iterative Transform Method for solving time-fractional nonlinear dispersive Korteweg-de Vries equation.
    A.S. Kelil
    15. Application of Graph Theory in Search of Websites and Web Pages.
    Ambrish Pandey, Chitra Singh and Sovan Samanta


    Dr. Sandeep Singh is an Assistant Professor at the Department of Mathematics at Akal University Talwandi Sabo, Bathinda, Punjab, India. He received his Ph.D. in Group Theory (Mathematics) from School of Mathematics, Thapar University, Patiala, India.

    Prof. Aliakbar Montazer Haghighi is a Professor at the Department of Mathematics, Prairie View A&M University, Texas, USA. He received his Ph.D. degree from Case Western Reserve University, Cleveland, Ohio, USA.

    Dr. Sandeep Dalal is a postdoctoral fellow at NISER, Bhubaneshwar, Orrisa, India. He received his Ph.D in algebraic graph theory from the Department of Mathematics, Birla Institute of Technology and Science, Pilani, India.