Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. 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 problemsProvides a useful guide toward the development of a sustainable model for disaster managementPresents optimized hybrid block method techniques to solve mathematical problems existing in the industriesCovers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theoryHighlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturingAdvanced 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032606781
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