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portada Nature-Inspired Metaheuristic Algorithms
Type
Physical Book
Publisher
Author
Language
English
Pages
402
Format
Hardcover
ISBN13
9781032770871

Nature-Inspired Metaheuristic Algorithms

Bansal Sulabh,Tripathi Aprna,Srivastava Shilpa (Author) · Crc Pr Inc · Hardcover

Nature-Inspired Metaheuristic Algorithms - Bansal Sulabh,Tripathi Aprna,Srivastava Shilpa

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Synopsis "Nature-Inspired Metaheuristic Algorithms"

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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