Advanced Mathematical Techniques in Computational and Intelligent Systems

This book explores advanced mathematical techniques for computational and intelligent systems, covering optimization, reliability theory, and applications in smart agriculture, healthcare, disaster management, and manufacturing. It is suitable for graduate and senior undergraduate students and academic researchers in electrical engineering, electronics, and mathematics.

Format: Unspecified
Length: 264 pages
Publication date: 20 November 2023
Publisher: Taylor & Francis Ltd

This book offers a comprehensive exploration of real-world industrial problems and innovative optimization techniques, including heuristics, finite methods, operation research techniques, intelligent algorithms, and agent-based methods. It delves into advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems. Additionally, it provides a valuable guide toward the development of a sustainable model for disaster management. The book showcases optimized hybrid block method techniques to solve mathematical problems in industries, covering mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory. It also highlights applications in 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. It provides a comprehensive and up-to-date overview of the latest advancements in these fields, making it an essential resource for anyone interested in pursuing research or working in these areas.

Weight: 684g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032398662