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Applications of Cuckoo Search Algorithm and its Variants -

Applications of Cuckoo Search Algorithm and its Variants (eBook)

Nilanjan Dey (Herausgeber)

eBook Download: PDF
2020 | 2021
IX, 324 Seiten
Springer Singapore (Verlag)
978-981-15-5163-5 (ISBN)
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This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.

Nilanjan Dey is an Assistant Professor at the Department of Information Technology, Techno International New Town (Formerly known as Techno India College of Technology), Kolkata, India. He is a Visiting Fellow of the University of Reading, UK; a Visiting Professor at Duy Tan University, Vietnam; and was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD. from Jadavpur University in 2015. 
He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer Nature; Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier; and Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis, CRC. He has authored/edited more than 50 books with Springer, Elsevier, Wiley, and CRC Press, and published more than 300 peer-reviewed research papers. His main research interests include medical imaging, machine learning, computer-aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing (IFIP) - Young ICT Group.

This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.
Erscheint lt. Verlag 23.6.2020
Reihe/Serie Springer Tracts in Nature-Inspired Computing
Springer Tracts in Nature-Inspired Computing
Zusatzinfo IX, 324 p. 381 illus., 58 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Technik
Schlagworte Algorithm analysis and problem complexity • Cuckoo Search • firefly algorithm • meta-heuristics • Nature-Inspired Computing • Optimization
ISBN-10 981-15-5163-4 / 9811551634
ISBN-13 978-981-15-5163-5 / 9789811551635
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