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003 SIRSI
005 20160812084155.0
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008 100301s2010 gw | s |||| 0|eng d
020 _a9783642043178
_9978-3-642-04317-8
040 _cMX-MeUAM
050 4 _aQ342
082 0 4 _a006.3
_223
100 1 _aGeem, Zong Woo.
_eeditor.
245 1 0 _aRecent Advances In Harmony Search Algorithm
_h[recurso electrónico] /
_cedited by Zong Woo Geem.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aVIII, 175 p.
_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 ;
_v270
505 0 _aState-of-the-Art in the Structure of Harmony Search Algorithm -- Harmony Search Optimization Algorithm: Application to a Reconfigurable Mobile Robot Prototype -- Optimal Trajectory of Robot Manipulator Using Harmony Search Algorithms -- Visual Tracking Using Harmony Search -- Web Text Mining Using Harmony Search -- Population Variance Harmony Search Algorithm to Solve Optimal Power Flow with Non-Smooth Cost Function -- A Harmony Search Approach Using Exponential Probability Distribution Applied to Fuzzy Logic Control Optimization -- Hybrid Taguchi-Harmony Search Approach for Shape Optimization -- An Introduction to the Hybrid HS-SQP Method and Its Applications -- Solution of Groundwater Management Problems Using Harmony Search Algorithm -- Application of the Harmony Search Optimization in Irrigation -- The Application of Harmony Search in Fourth-Party Logistics Routing Problems -- A Harmony Search with Multi-pitch Adjusting Rate for the University Course Timetabling -- An Optimization Algorithm Based on Harmony Search for RNA Secondary Structure Prediction.
520 _aNowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with many applications. One of key success factors of the algorithm is the employment of a novel stochastic derivative which can be used even for discrete variables. Instead of traditional calculus-based gradient, the algorithm utilizes musician’s experience as a derivative in searching for an optimal solution. This can be a new paradigm and main reason in the successes of various applications. The goal of this book is to introduce major advances of the harmony search algorithm in recent years. The book contains 14 chapters with the following subjects: State-of-the-art in the harmony search algorithm structure; robotics (robot terrain and manipulator trajectory); visual tracking; web text data mining; power flow planning; fuzzy control system; hybridization (with Taguchi method or SQP method); groundwater management; irrigation ; logistics; timetabling; and bioinformatics (RNA structure prediction). This book collects the above-mentioned theory and applications, which are dispersed in various technical publications, so that readers can have a good grasp of current status of the harmony search algorithm and foster new breakthroughs in their fields using the algorithm.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aAcoustics.
650 0 _aMusic.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMusic.
650 2 4 _aAcoustics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642043161
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v270
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-04317-8
596 _a19
942 _cLIBRO_ELEC
999 _c201518
_d201518