Nature-inspired Metaheuristic Algorithms

Solving Real World Engineering Problems

Aprna Tripathi editor Sulabh Bansal editor Shilpa Srivastava editor Prem Prakash Vuppuluri editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Publishing:10th Jun '25

£165.00

This title is due to be published on 10th June, and will be despatched as soon as possible.

Nature-inspired Metaheuristic Algorithms cover

This comprehensive text comprehensively 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.

ISBN: 9781032770871

Dimensions: unknown

Weight: unknown

386 pages