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005 20200520144314.0
010   $a9783642329005
010   $a3642329004
024 7 $a10.1007/978-3-642-32900-5
035   $a(CKB)3400000000086151
035   $a(SSID)ssj0000767128
035   $a(PQKBManifestationID)11430333
035   $a(PQKBTitleCode)TC0000767128
035   $a(PQKBWorkID)10739889
035   $a(PQKB)10977833
035   $a(DE-He213)978-3-642-32900-5
035   $a(MiAaPQ)EBC3070965
035   $a(PPN)168323036
035   $a(EXLCZ)993400000000086151
100   $a20120927d2013      uy         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 00$aOptimization of PID controllers using ant colony and genetic algorithms /$fMuhammet Unal ... [et al.]
205   $a1st ed. 2013.
210   $aBerlin ;$aNew York $cSpringer$dc2013
215   $a1 online resource (XX, 88 p.) 
225 1 $aStudies in computational intelligence,$x1860-949X ;$v449
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a9783642328992 
311 08$a3642328997 
320   $aIncludes bibliographical references and index.
327   $aArtificial Neural Networks -- Genetic Algorithm -- Ant Colony Optimization (ACO) -- An Application for Process System Control.
330   $aArtificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to  process system control.
410  0$aStudies in computational intelligence ;$vv. 449.
606   $aPID controllers$xMathematics
606   $aAnt algorithms
606   $aGenetic algorithms
615  0$aPID controllers$xMathematics.
615  0$aAnt algorithms.
615  0$aGenetic algorithms.
676   $a629.8
701   $aUnal$b Muhammet$01065620
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437763903321
996   $aOptimization of PID Controllers Using Ant Colony and Genetic Algorithms$92547206
997   $aUNINA