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Metaheuristic and Evolutionary Computation: Algorithms and Applications (Studies in Computational Intelligence, nr. 916)

Editat de Hasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh
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en Limba Engleză Paperback – 10 Oct 2021
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.
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Specificații

ISBN-13: 9789811575730
ISBN-10: 9811575738
Ilustrații: XXIX, 820 p. 485 illus., 368 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.28 kg
Ediția: 1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării: Singapore, Singapore

Cuprins

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).

Notă biografică

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 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 IqbalFellow 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-2013, SIGMA 2018,  IEEE CENCON 2019 and IEEE ICIOT 2020. He has published widely in International Journals and Conferences his research findings related to Power Electronics, Variable Speed Drives and Renewable Energy Sources. Dr. Iqbal has authored/co-authored more than 420 research papers and two books and three chapters in two other books. He has supervised several large R&D projects. He has supervised and co-supervised several PhD students. His principal area of research interest is Smart Grid, Complex Energy Transition, Active Distribution Network, Electric Vehicles drivetrain, Sustainable Development and Energy Security, Distributed Energy Generation and Multiphase Motor Drives.

Dr. Puneet Joshi received B.E. degree in Electrical Engineering from the G.B. Pant Engineering College, Uttarakhand, India, M.Tech. degree in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Uttarakhand, India, and the Ph.D. degree in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Uttarakhand, India. He is currently working as an Assistant Professor in the Department of Electrical Engineering, Rajkiya Engineering College, Ambedkar Nagar, Uttar Pradesh, India. His research interests include optimization techniques, power systems, power electronics, renewable energy and artificial intelligence/soft computing/machine learning applications in electrical engineering. He has published several research articles, including papers in international journals, conferences and book chapters.  Dr. Joshi is a Life Member of the International Association of Engineers, Hong Kong (IAENG) and Member of the Institute of Electrical and Electronics Engineers (IEEE), USA.  
Dr. Sanjay Agrawal received B.Tech. degree in Electrical and Electronics Engineering from the Uttar Pradesh Technical University, Lucknow, India, M.Tech degree in Electrical Engineering from NIT Hamirpur, India, in 2012, and the Ph.D. degree in Electrical Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India, in 2017.  He has worked with the School of Electrical and Electronic Engineering (SEEE), Dublin Institute of Technology, Ireland, for seven weeks in the year 2016 under the SFI-ISCA sponsorship scheme of Ireland Government.  Since December 2017, he has been an Assistant Professor with the Electrical Engineering Department, Rajkiya Engineering College Ambedkar Nagar, Uttar Pradesh, India. His research interests include signal processing, artificial intelligence, renewable energy and condition monitoring. He has published research articles in peer-reviewed international journals and conferences and also written book chapters.  
Dr. Farhad Ilahi Bakhsh received Diploma and B.Tech degree in Electrical Engineering from Aligarh Muslim University (AMU), Aligarh, India, in 2006 and 2010, respectively. He was awarded University Medal (Gold) for standing first throughout Diploma in Electrical Engineering. He has been awarded the first position in SPOTLIGHT and third position in overall solar conference during cognizance 2010 in Indian Institute of Technology Roorkee. Then, he pursued Masters in Power System and Drives from the Aligarh Muslim University. In Masters, he secured the first position in his branch. He joined IEEE during Masters, and since then, he is an IEEE member.  He also worked as Head of Research & Development Cell, IEEE student chapter and AMU for around two years. Under this cell, he developed five new systems i.e. a rotor power control-based flexible asynchronous AC link (FASAL) system, miss-call-based switching system for multiple loads or appliances, a power controller circuit-based flexible asynchronous AC link (FASAL) system for induction generator applications, a combined voltage control and rotor power control-based flexible asynchronous AC link (FASAL) system and a waste fluid pressure-based energy generation system. Among these five systems, four systems have been published by an official Journal of Patent Office. Then, he pursued Ph.D. from Indian Institute of Technology Roorkee, India. During his Ph.D., he developed a new method for grid integration for wind energy generation system which has been recognized worldwide. Currently, he is serving as an Assistant Professor in the Department of Electrical & Renewable Energy Engineering, School of Engineering & Technology, Baba Ghulam Shah Badshah University, Rajouri, J & K, India. He is also Coordinator of Massive Open Online Courses (MOOCs) under SWAYAM platform in Baba Ghulam Shah Badshah University and Co-Coordinator of NBA, School of Engineering & Technology, Baba Ghulam Shah Badshah University. Recently, he developed an automatic solar tracking system which has been appreciated by IEEE India Council, Centre for Embedded Product Design, Centre for Electronics Design and Technology and Netaji Subhas Institute of Technology in association with IEEE Delhi Section & IEEE CAS, Bangalore Chapter. Currently, he is serving as an Assistant Professor in the Department of Electrical Engineering, National Institute of Technology Srinagar, Jammu & Kashmir, India. Here, he is having many departmental and institutional responsibilities. He started IEEE Student Branch in NIT Srinagar, and since then, he is serving as Counselor of it. Recently, he has won “10 for 10 Typhoon HIL Award” from Switzerland, Europe. He delivered a number of Keynote talks, Invited talks and Expert Lectures at national and international levels in conferences, workshops, STC, etc. He has more than 50 published papers in international reputed journals, international reputed conferences and national conferences. Moreover, he has four published patents in his credit. His research area of interests includes application of variable frequency transformer, renewable energy systems (solar & wind), drives and alternate energy vehicles. 




Textul de pe ultima copertă

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.

Caracteristici

Includes codes for each chapter to support beginners and facilitate project implementation
Discusses various applications of metaheuristics in engineering and the applied sciences
Presents contributions by prominent experts in the field