Metaheuristic and evolutionary computation : algorithms and applications / Hasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh, editors.
Malik, Hasmat.; Iqbal, Atif.; Joshi, Puneet.; Agrawal, Sanjay.; Bakhsh, Farhad Ilahi.
2021
QA76.9.A43
Available Online

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Title Metaheuristic and evolutionary computation : algorithms and applications / Hasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh, editors.
ISBN 9789811575716 (electronic bk.)
9811575711 (electronic bk.)
9811575703
9789811575709
DOI https://doi.org/10.1007/978-981-15-7571-6
Imprint Singapore : Springer, 2021.
Language English
Description 1 online resource (830 pages)
Other Standard Identifiers 10.1007/978-981-15-7571-6 doi
Call Number QA76.9.A43
Dewey Decimal Classification 005.13
Summary This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book's second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference. Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.
Note Includes index.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 18, 2020).
Added Author Malik, Hasmat.
Iqbal, Atif.
Joshi, Puneet.
Agrawal, Sanjay.
Bakhsh, Farhad Ilahi.
Series Studies in computational intelligence ; v. 916.
Available in Other Form Metaheuristic and Evolutionary Computation: Algorithms and Applications.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Chapter 1. Introduction: Optimization and Metaheuristics Algorithms
Chapter 2. Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms
Chapter 3. Tackling Power Quality Issues using Metaheuristics
Chapter 4. Meta-Heuristic application in Suppression of Noise
Chapter 5. A review on Genetic Algorithm and its application in Power system Engineering
Chapter 6. Different Variants of Particle Swarm Optimization Algorithms and its Application: A Review
Chapter 7. Application of Metaheuristics in Power Electronics
Chapter 8. Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications
Chapter 9. Energy Management System for Hybrid Energy System: Renewable Integration, modeling & optimization, control aspects and conceptual framework
Chapter 10. Recent Advances and Application of Metaheuristic Algorithms: A survey (2014-2020).

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