02915nam 2200601Ia 450 991043776390332120200520144314.09783642329005364232900410.1007/978-3-642-32900-5(CKB)3400000000086151(SSID)ssj0000767128(PQKBManifestationID)11430333(PQKBTitleCode)TC0000767128(PQKBWorkID)10739889(PQKB)10977833(DE-He213)978-3-642-32900-5(MiAaPQ)EBC3070965(PPN)168323036(EXLCZ)99340000000008615120120927d2013 uy 0engurnn|008mamaatxtccrOptimization of PID controllers using ant colony and genetic algorithms /Muhammet Unal ... [et al.]1st ed. 2013.Berlin ;New York Springerc20131 online resource (XX, 88 p.) Studies in computational intelligence,1860-949X ;449Bibliographic Level Mode of Issuance: Monograph9783642328992 3642328997 Includes bibliographical references and index.Artificial Neural Networks -- Genetic Algorithm -- Ant Colony Optimization (ACO) -- An Application for Process System Control.Artificial 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.Studies in computational intelligence ;v. 449.PID controllersMathematicsAnt algorithmsGenetic algorithmsPID controllersMathematics.Ant algorithms.Genetic algorithms.629.8Unal Muhammet1065620MiAaPQMiAaPQMiAaPQBOOK9910437763903321Optimization of PID Controllers Using Ant Colony and Genetic Algorithms2547206UNINA