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Applications of Cuckoo Search Algorithm and its Variants de Nilanjan Dey

Applications of Cuckoo Search Algorithm and its Variants: Springer Tracts in Nature-Inspired Computing

Editat de Nilanjan Dey
en Limba Engleză Hardback – 24 iun 2020
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.
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Specificații

ISBN-13: 9789811551628
ISBN-10: 9811551626
Pagini: 324
Ilustrații: IX, 324 p. 381 illus., 58 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Tracts in Nature-Inspired Computing

Locul publicării:Singapore, Singapore

Cuprins

Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State.- Cuckoo search algorithm with various walks.- Cuckoo search algorithm: Statistical-based optimization approach and engineering applications.- Training a Feed Forward Neural Network using Cuckoo Search.- A Cuckoo Search Algorithm Inspired Membrane Systems to Solve Optimization Problems.- Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

Discusses solutions to complicated optimization problems in several real-world applications Highlights the basic concepts of the CS algorithm and its variants Serves as a reference for researchers and practitioners in academia and industry