ItemBook

Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems

Title
Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems
Creator
Bansal, Sulabh; Tripathi, Aprna; Srivastava, Shilpa; Vuppulur, Prem Prakash
Description
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. 2025 selection and editorial matter, Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava and Prem Prakash Vuppuluri; individual chapters, the contributors.
Source
Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems;pp.1-384
Date
01-01-2025
Publisher
CRC Press
Coverage
Bansal S., School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India; Tripathi A., Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India; Srivastava S., Christ University, Bengaluru, India; Vuppulur P.P., Department of Electrical Engineering, Faculty of Engineering Dayalbagh Educational Institute (Deemed University), Agra, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104034487-3; 978-103277087-1;
Format
online
Language
English
Type
Book

Citation

Bansal, Sulabh; Tripathi, Aprna; Srivastava, Shilpa; Vuppulur, Prem Prakash, “Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23861.

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