LEADER 04786nam 22009015 450 001 996465896303316 005 20200630015804.0 010 $a3-540-45110-2 024 7 $a10.1007/3-540-45110-2 035 $a(CKB)1000000000212076 035 $a(SSID)ssj0000492942 035 $a(PQKBManifestationID)11298288 035 $a(PQKBTitleCode)TC0000492942 035 $a(PQKBWorkID)10499571 035 $a(PQKB)10249895 035 $a(DE-He213)978-3-540-45110-5 035 $a(MiAaPQ)EBC3073131 035 $a(PPN)155181912 035 $a(EXLCZ)991000000000212076 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic and Evolutionary Computation ? GECCO 2003$b[electronic resource] $eGenetic and Evolutionary Computation Conference Chicago, IL, USA, July 12?16, 2003 Proceedings, Part II /$fedited by Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence David Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russel Standish, Graham Kendall, Stewart Wilson, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (XCIV, 1280 p. 818 illus.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2724 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-40603-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aGenetic Algorithms -- Genetic Algorithms ? Posters -- Genetic Programming -- Genetic Programming ? Posters -- Learning Classifier Systems -- Learning Classifier Systems ? Posters -- Real World Applications -- Real World Applications ? Posters -- Search Based Software Engineering -- Search Based Software Engineering ? Posters. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2724 606 $aEvolutionary biology 606 $aComputers 606 $aComputer programming 606 $aAlgorithms 606 $aArtificial intelligence 606 $aApplication software 606 $aEvolutionary Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L21001 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 615 0$aEvolutionary biology. 615 0$aComputers. 615 0$aComputer programming. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aEvolutionary Biology. 615 24$aComputation by Abstract Devices. 615 24$aProgramming Techniques. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aArtificial Intelligence. 615 24$aComputer Appl. in Administrative Data Processing. 676 $a576.8 702 $aCantú-Paz$b Erick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFoster$b James A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDeb$b Kalyanmoy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDavis$b Lawrence David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRoy$b Rajkumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aO'Reilly$b Una-May$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBeyer$b Hans-Georg$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStandish$b Russel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKendall$b Graham$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWilson$b Stewart$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWegener$b Joachim$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDasgupta$b Dipankar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPotter$b Mitchell A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchultz$b Alan C$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465896303316 996 $aGenetic and evolutionary computation - GECCO 2003$9956223 997 $aUNISA LEADER 05231nam 22006014a 450 001 9910830211403321 005 20170816122529.0 010 $a1-280-92175-7 010 $a9786610921751 010 $a3-527-61110-X 010 $a3-527-61109-6 035 $a(CKB)1000000000376066 035 $a(EBL)481711 035 $a(SSID)ssj0000120411 035 $a(PQKBManifestationID)11146452 035 $a(PQKBTitleCode)TC0000120411 035 $a(PQKBWorkID)10092546 035 $a(PQKB)10049432 035 $a(MiAaPQ)EBC481711 035 $a(OCoLC)181368569 035 $a(EXLCZ)991000000000376066 100 $a20070906d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aChemical engineering$b[electronic resource] $emodelling, simulation, and similitude /$fTanase G. Dobre and Jose? G. Sanchez Marcano 210 $aWeinheim $cWiley-VCH$dc2007 215 $a1 online resource (571 p.) 300 $aDescription based upon print version of record. 311 $a3-527-30607-2 320 $aIncludes bibliographical references and index. 327 $aChemical Engineering; Contents; Preface; 1 Why Modelling?; 1.1 Process and Process Modelling; 1.2 Observations on Some General Aspects of Modelling Methodology; 1.3 The Life-cycle of a Process and Modelling; 1.3.1 Modelling and Research and Development Stage; 1.3.2 Modelling and Conceptual Design Stage; 1.3.3 Modelling and Pilot Stage; 1.3.4 Modelling and Detailed Engineering Stage; 1.3.5 Modelling and Operating Stage; 1.4 Actual Objectives for Chemical Engineering Research; 1.5 Considerations About the Process Simulation; 1.5.1 The Simulation of a Physical Process and Analogous Computers 327 $aReferences2 On the Classification of Models; 2.1 Fields of Modelling and Simulation in Chemical Engineering; 2.1.1 Steady-state Flowsheet Modelling and Simulation; 2.1.2 Unsteady-state Process Modelling and Simulation; 2.1.3 Molecular Modelling and Computational Chemistry; 2.1.4 Computational Fluid Dynamics; 2.1.5 Optimisation and Some Associated Algorithms and Methods; 2.1.6 Artificial Intelligence and Neural Networks; 2.1.7 Environment, Health, Safety and Quality Models; 2.1.8 Detailed Design Models and Programs; 2.1.9 Process Control; 2.1.10 Estimation of Parameters 327 $a2.1.11 Experimental Design2.1.12 Process Integration; 2.1.13 Process Synthesis; 2.1.14 Data Reconciliation; 2.1.15 Mathematical Computing Software; 2.1.16 Chemometrics; 2.2 Some Observations on the Practical Use of Modelling and Simulation; 2.2.1 Reliability of Models and Simulations; 2.2.2 The Role of Industry as Final User of Modelling and Simulation; 2.2.3 Modelling and Simulation in Innovations; 2.2.4 Role of Modelling in Technology Transfer and Knowledge Management; 2.2.5 Role of the Universities in Modelling and Simulation Development; References 327 $a3 Mathematical Modelling Based on Transport Phenomena3.1 Algorithm for the Development of a Mathematical Model of a Process; 3.1.1 Some Observations about the Start of the Research; 3.1.2 The Limits of Modelling Based on Transport Phenomena; 3.2 An Example: From a Written Description to a Simulator; 3.3 Chemical Engineering Flow Models; 3.3.1 The Distribution Function and the Fundamental Flow Models; 3.3.2 Combined Flow Models; 3.3.3 The Slip Flow Effect on the Efficiency of a Mechanically Mixed Reactor in a Permanent Regime; 3.3.4 Dispersion Flow Model; 3.3.5 Examples 327 $a3.3.5.1 Mechanically Mixed Reactor for Reactions in Liquid Media3.3.5.2 Gas Flow in a Fluidized Bed Reactor; 3.3.5.3 Flow in a Fixed Bed Catalytic Reactor; 3.3.6 Flow Modelling using Computational Fluid Dynamics; 3.4 Complex Models and Their Simulators; 3.4.1 Problem of Heating in a Zone Refining Process; 3.4.2 Heat Transfer in a Composite Medium; 3.4.3 Fast Chemical Reaction Accompanied by Heat and Mass Transfer; 3.5 Some Aspects of Parameters Identification in Mathematical Modelling; 3.5.1 The Analytical Method for Identifying the Parameters of a Model 327 $a3.5.1.1 The Pore Radius and Tortuosity of a Porous Membrane for Gas Permeation 330 $aA description of the use of computer aided modeling and simulation in the development, integration and optimization of industrial processes. The two authors elucidate the entire procedure step-by-step, from basic mathematical modeling to result interpretation and full-scale process performance analysis. They further demonstrate similitude comparisons of experimental results from different systems as a tool for broadening the applicability of the calculation methods.Throughout, the book adopts a very practical approach, addressing actual problems and projects likely to be encountered by the 606 $aChemical engineering$xResearch$xMethodology 615 0$aChemical engineering$xResearch$xMethodology. 676 $a660 676 $a660.072 700 $aDobre$b Tanase G$01670726 701 $aSanchez Marcano$b Jose? G$0929469 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830211403321 996 $aChemical engineering$94032774 997 $aUNINA