Cuckoo Search and Firefly Algorithm

. Ed(s): Yang, Xin-She

ISBN 10: 3319375369 / ISBN 13: 9783319375366

Verlag: Springer International Publishing AG, 2016

As well as flexibility and efficiency, nature-inspired algorithms are relatively easy to implement. This review of two of the most popular is a timely summary of recent progress in their theory and applications, and includes detailed analysis and case studies. Editor(s): Yang, Xin-She. Series: Studies in Computational Intelligence. Num Pages: 371 pages, 95 black & white illustrations, 5 colour illustrations, biography. BIC Classification: PBU; UMB; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 569. . 2016. Softcover reprint of the original 1st ed. 2014. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9783319375366

Inhaltsangabe:

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.

Von der hinteren Coverseite:

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.

Bibliografische Details

Titel: Cuckoo Search and Firefly Algorithm
Verlag: Springer International Publishing AG
Erscheinungsdatum: 2016
Einband: Softcover
Zustand: New