Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bansal, Sulabh; Tripathi, Aprna; Srivastava, Shilpa; Vuppulur, Prem Prakash Title A name given to the resource Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems;pp.1-384 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003612858" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003612858</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012014445?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012014445?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104034487-3; 978-103277087-1; Language A language of the resource English Type The nature or genre of the resource Book Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online