E-Books →Nature-inspired Metaheuristic Algorithms

This book:Discusses load balancing and demand response using nature-inspired optimization techniquesPresents energy-efficient routing and scheduling, energy management, and optimization using metaheuristic algorithmsCovers disease diagnosis, and prognosis using metaheuristic algorithms, drug discovery, and development using nature-inspired optimization techniquesExplains waste reduction and recycling, image processing, and computer vision using nature-inspired optimization techniquesIllustrates medical image analysis and segmentation using Ant Colony optimization, and Particle Swarm optimization techniquesNature-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.