Advanced Mathematical Techniques in Computational and Intelligent Systems

<p>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.</p><ul> <li>Discusses advanced techniques such as key cell Mobius inversion and zero suffix techniques to find initial feasible solutions to optimization problems</li> <li>Provides a useful guide toward the development of a sustainable model for disaster management</li> <li>Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries</li> <li>Covers mathematical techniques such as Laplace transformation stochastic process and differential techniques related to reliability theory</li> <li>Highlights application on smart agriculture smart healthcare techniques for disaster management and smart manufacturing</li> </ul><p><i>Advanced Mathematical Techniques in Computational and Intelligent Systems </i>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.</p>