Metaheuristic and Evolutionary Computation: Algorithms and Applications
(Sprache: Englisch)
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...
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Klappentext zu „Metaheuristic and Evolutionary Computation: Algorithms and Applications “
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.
Inhaltsverzeichnis zu „Metaheuristic and Evolutionary Computation: Algorithms and Applications “
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).
Autoren-Porträt
Dr Hasmat Malik (M'16) received Diploma in Electrical Engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech. degree in electrical & electronics engineering from the GGSIP University, Delhi, M.Tech degree in electrical engineering from National Institute of Technology (NIT) Hamirpur, Himachal Pradesh, and Ph.D in power system from Electrical Engineering Department, Indian Institute of Technology (IIT) Delhi, India. Currently, He is working as a postdoctoral fellow at BEARS, university town, NUS campus, since Jan., 2019 and served as an Assistant Professor for 5+ years at Division of Instrumentation and Control Engineering, Netaji Subhas University of Technology (NSUT) Delhi (formerly NSIT Delhi), India. Dr Hasmat has organized several faculty development programmes (FDP) and international conferences. He is a Life Member of Indian Society for Technical Education (ISTE), Institution of Electronics and Telecommunication Engineering (IETE), International Association of Engineers, Hong Kong (IAENG), International Society for Research and Development, London (ISRD) and Member of the Institute of Electrical and Electronics Engineers (IEEE), USA, Computer Science Teachers Association (CSTA), USA, Association for Computing Machinery (ACM) EIG, Computer Science Teachers Association (CSTA) and Mir Labs, Asia. He has published widely in International Journals and Conferences his research findings related to Intelligent Data Analytic, Artificial Intelligence, and Machine Learning applications in Power system, Power apparatus, Smart building & automation, Smart grid, Forecasting, Prediction and Renewable Energy Sources. Dr. Hasmat has authored/co-authored more than 100 research papers and eight books and 18 chapters in twelve other books, published by IEEE, Springer and Elsevier. He is a Guest Editor of Special Issue of Journal of Intelligent & Fuzzy Systems, 2018 (SCI, Impact Factor 2019:1.637), (IOS Press). He
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received the POSOCO Power System Award (PPSA-2017) for his Ph.D work for research and innovation in the area of power systems. He has received best research papers awards at IEEE INDICON-2015, and full registration fee at IEEE SSD-2012 (Germany). He has supervised 23 PG students. He is involved in several large R&D projects. His principle area of research interests is artificial intelligence, machine learning and intelligent analytics for renewable energy, smart building & automation, condition monitoring and online fault detection & diagnosis (FDD).
Atif Iqbal, Fellow IET (UK), Fellow IE (India) and Senior Member IEEE, Vice-Chair, IEEE Qatar section, DSc (Poland), PhD (UK)- Associate Editor IEEE ACCESS, Editor-in-Chief, I'manager journal of Electrical Engineering, Former Associate Editor IEEE Trans. On Industry Application. Full Professor at the Dept. of Electrical Engineering, Qatar University and Former Full Professor at Electrical Engineering, Aligarh Muslim University (AMU), Aligarh, India. Recipient of Outstanding Faculty Merit Award academic year 2014-2015 and Research excellence awards 2015 and 2019 at Qatar University, Doha, Qatar. He received his B.Sc. (Gold Medal) and M.Sc. Engineering (Power System & Drives) degrees in 1991 and 1996, respectively, from the Aligarh Muslim University (AMU), Aligarh, India and PhD in 2006 from Liverpool John Moores University, Liverpool, UK. He obtained DSc (Habilitation) from Gdansk University of Technology in Control, Informatics and Electrical Engineering in 2019. He has been employed as a Lecturer in the Department of Electrical Engineering, AMU, Aligarh since 1991 where he served as Full Professor until Aug. 2016. He is recipient of Maulana Tufail Ahmad Gold Medal for standing first at B.Sc. Engg. (Electrical) Exams in 1991 from AMU. He has received several best research papers awards e.g. at IEEE ICIT-2013, IET-SEISCON
Atif Iqbal, Fellow IET (UK), Fellow IE (India) and Senior Member IEEE, Vice-Chair, IEEE Qatar section, DSc (Poland), PhD (UK)- Associate Editor IEEE ACCESS, Editor-in-Chief, I'manager journal of Electrical Engineering, Former Associate Editor IEEE Trans. On Industry Application. Full Professor at the Dept. of Electrical Engineering, Qatar University and Former Full Professor at Electrical Engineering, Aligarh Muslim University (AMU), Aligarh, India. Recipient of Outstanding Faculty Merit Award academic year 2014-2015 and Research excellence awards 2015 and 2019 at Qatar University, Doha, Qatar. He received his B.Sc. (Gold Medal) and M.Sc. Engineering (Power System & Drives) degrees in 1991 and 1996, respectively, from the Aligarh Muslim University (AMU), Aligarh, India and PhD in 2006 from Liverpool John Moores University, Liverpool, UK. He obtained DSc (Habilitation) from Gdansk University of Technology in Control, Informatics and Electrical Engineering in 2019. He has been employed as a Lecturer in the Department of Electrical Engineering, AMU, Aligarh since 1991 where he served as Full Professor until Aug. 2016. He is recipient of Maulana Tufail Ahmad Gold Medal for standing first at B.Sc. Engg. (Electrical) Exams in 1991 from AMU. He has received several best research papers awards e.g. at IEEE ICIT-2013, IET-SEISCON
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Bibliographische Angaben
- 2020, 1st ed. 2021, XXIX, 820 Seiten, 368 farbige Abbildungen, Masse: 15,5 x 24,7 cm, Gebunden, Englisch
- Herausgegeben: Hasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh
- Verlag: Springer, Berlin
- ISBN-10: 9811575703
- ISBN-13: 9789811575709
Sprache:
Englisch
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