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Cuckoo Search and Firefly Algorithm: Theory and Applications: Studies in Computational Intelligence, cartea 516

Editat de Xin She Yang
en Limba Engleză Paperback – 23 aug 2016
Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others.
This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.
 
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Specificații

ISBN-13: 9783319375366
ISBN-10: 3319375369
Pagini: 371
Ilustrații: XI, 360 p. 100 illus., 5 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:Softcover reprint of the original 1st ed. 2014
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

From the Contents: Cuckoo Search and Firefly Algorithm: Overview and Analysis.- On the Randomization Firefly Algorithm.- Cuckoo Search: A Brief Literature Review.- Discrete cuckoo search for travelling salesman problem.- Comparative analysis of the cuckoo search algorithm.- Multilevel Image Processing by Cuckoo Search.- Binary Cuckoo Search.- Training spiking neural models using cuckoo search.- Multi-Objective Optimization of a Real-World Manufacturing Process using Cuckoo Search.

Textul de pe ultima copertă

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book.  Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others.  
This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.
 

Caracteristici

Summary of the latest developments of cuckoo search and firefly algorithm and their diverse applications Reviews both theoretical studies and applications with detailed algorithm analysis, implementation and case studies Written by an expert in the field Includes supplementary material: sn.pub/extras