01030cam0-2200361---450-99000861516040332120110707135652.0978-88-464-8872-5000861516FED01000861516(Aleph)000861516FED0100086151620080212d2007----km-y0itay50------baitaITy-------001yyDiritti umani e Nazioni Unitediritti, obblighi e garanzieAntonio MarchesiMilanoFrancoAngeli2007204 p.23 cmPoliticaStudi72Nazioni UniteDiritti dell'uomoTutela internazionale341.48121itaMarchesi,Antonio253694ITUNINARICAUNIMARCBK990008615160403321Collez. 1747 (72)47515FSPBCXVI B 207069DDCICDDCICFSPBCDiritti umani e Nazioni Unite714792UNINA03846nam 22008175 450 991029948810332120251113201120.03-319-05245-410.1007/978-3-319-05245-8(CKB)3710000000093968(EBL)1698351(OCoLC)880449552(SSID)ssj0001186848(PQKBManifestationID)11787418(PQKBTitleCode)TC0001186848(PQKBWorkID)11240698(PQKB)10054039(MiAaPQ)EBC1698351(DE-He213)978-3-319-05245-8(PPN)177822937(EXLCZ)99371000000009396820140313d2014 u| 0engur|n|---|||||txtccrChemical Optimization Algorithm for Fuzzy Controller Design /by Leslie Astudillo, Patricia Melin, Oscar Castillo1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (81 p.)SpringerBriefs in Computational Intelligence,2625-3712Description based upon print version of record.3-319-05244-6 Includes bibliographical references at the end of each chapters and index.Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions.In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceAutomatic controlChemistry, Physical and theoreticalRoboticsAutomationArtificial intelligenceComputational IntelligenceControl and Systems TheoryTheoretical ChemistryControl, Robotics, AutomationArtificial IntelligenceComputational intelligence.Automatic control.Chemistry, Physical and theoretical.Robotics.Automation.Artificial intelligence.Computational Intelligence.Control and Systems Theory.Theoretical Chemistry.Control, Robotics, Automation.Artificial Intelligence.006.3Astudillo Leslieauthttp://id.loc.gov/vocabulary/relators/aut866746Melin Patriciaauthttp://id.loc.gov/vocabulary/relators/autCastillo Oscarauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299488103321Chemical Optimization Algorithm for Fuzzy Controller Design1934740UNINA