Book Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems PDF Download - Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri
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Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems
Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri
Page: 402
Format: pdf, ePub, mobi, fb2
ISBN: 9781040344897
Publisher: CRC Press
Download or Read Online Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems Free Book (PDF ePub Mobi) by Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri
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This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. This book: Discusses load balancing and demand response using nature-inspired optimization techniques Presents energy-efficient routing and scheduling, energy management, and optimization using metaheuristic algorithms Covers disease diagnosis, and prognosis using metaheuristic algorithms, drug discovery, and development using nature-inspired optimization techniques Explains waste reduction and recycling, image processing, and computer vision using nature-inspired optimization techniques Illustrates medical image analysis and segmentation using Ant Colony optimization, and Particle Swarm optimization techniques Nature-inspired Metaheuristic Algorithms is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
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This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex .
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The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a .
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This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms for global optimization.
Nature-Inspired Metaheuristics Algorithms: Solving Real-World .
This book: Discusses load balancing and demand response using nature-inspired optimization techniques. Presents energy-efficient routing and scheduling, energy .
Nature-inspired Metaheuristics Algorithms: Solving Real-world .
Nature-inspired Metaheuristics Algorithms: Solving Real-World Engineering Problems. Sulabh Bansal Edited by Aprna Tripathi , Shilpa Srivastava.
Nature-inspired Metaheuristic Algorithms Solving Real World .
This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex .
Nature-inspired Metaheuristic Algorithms - Taylor & Francis eBooks
This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex.
Nature-inspired Metaheuristic Algorithms: Solving Real World .
This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex .
Nature-inspired Metaheuristic Algorithms : Solving Real World .
The text provides practical guidance to implement nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems.