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Nature-inspired Metaheuristic Algorithms : Solving Real World Engineering Problems

By: (Edited by) Aprna Tripathi , (Edited by) Prem Prakash Vuppuluri , (Edited by) Shilpa Srivastava , (Edited by) Sulabh Bansal

Manufacture on Demand

Ksh 29,700.00

Format: Hardback or Cased Book

ISBN-10: 1032770872

ISBN-13: 9781032770871

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 9th, 2025

Print length: 384 Pages

Weight: 900 grams

Product Classification: Electrical engineering
Electronics engineering
Automatic control engineering
Information technology: general issues
Algorithms & data structures

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The text provides practical guidance to implement 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 UN SDG such as climate action, clean energy, and sustainable cities.

The text comprehensively provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It will further demonstrate 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.

The text 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.

Get Nature-inspired Metaheuristic Algorithms by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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