000 03311nam a22004695i 4500
001 978-3-319-02141-6
003 DE-He213
005 20200421111851.0
007 cr nn 008mamaa
008 131031s2014 gw | s |||| 0|eng d
020 _a9783319021416
_9978-3-319-02141-6
024 7 _a10.1007/978-3-319-02141-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aCuckoo Search and Firefly Algorithm
_h[electronic resource] :
_bTheory and Applications /
_cedited by Xin-She Yang.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXI, 360 p. 100 illus., 5 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v516
505 0 _aFrom 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.
520 _aNature-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.  .
650 0 _aEngineering.
650 0 _aImage processing.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aImage Processing and Computer Vision.
700 1 _aYang, Xin-She.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319021409
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v516
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02141-6
912 _aZDB-2-ENG
942 _cEBK
999 _c56123
_d56123