13256nam 22008895 450 99646568640331620230222080011.03-319-42085-210.1007/978-3-319-42085-1(CKB)3710000000765262(DE-He213)978-3-319-42085-1(MiAaPQ)EBC5586966(Au-PeEL)EBL5586966(OCoLC)953415580(PPN)194515028(EXLCZ)99371000000076526220160701d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierComputational Science and Its Applications – ICCSA 2016[electronic resource] 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I /edited by Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Carmelo M. Torre, David Taniar, Bernady O. Apduhan, Elena Stankova, Shangguang Wang1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XXVII, 650 p. 202 illus.)Theoretical Computer Science and General Issues,2512-2029 ;97863-319-42084-4 Intro -- Preface -- Organization -- Contents - Part I -- Computational Methods, Algorithms and Scientific Applications -- A Nonlinear Multiscale Viscosity Method to Solve Compressible Flow Problems -- 1 Introduction -- 2 Governing Equations and Variational Multiscale Formulation -- 3 Numerical Experiments -- 3.1 2D Oblique Shock Problem -- 3.2 2D Reflected Shock Problem -- 3.3 2D Explosion Problem -- 4 Conclusions -- References -- "Extended Cross-Product" and Solution of a Linear System of Equations -- Abstract -- 1 Introduction -- 2 Extended Cross Product -- 3 Projective Representation and Duality Principle -- 3.1 Projective Representation -- 3.2 Principle of Duality -- 4 Solution of Ax = B -- 5 Solution of Ax = 0 -- 6 Solution Ax = b and Ax = 0 -- 7 Barycentric Coordinates Computation -- 8 Intersection of Two Planes -- 9 Closest Point on the Line Given as an Intersection of Two Planes -- 10 Symbolic Manipulations -- 11 Example of Application -- 12 Efficiency of Computation and GPU Code -- 13 GPU Code -- 14 Conclusion -- Acknowledgment -- References -- Dynamical Behavior of a Cooperation Model with Allee Effect -- 1 Introduction -- 2 Analysis of Model (1) -- 2.1 Fixed Points and Their Stability -- 2.2 Stability via Lyapunov Function -- 3 Numerical Simulations of Model (1) -- 3.1 Phase Plane Diagrams -- 3.2 Time Series Diagrams -- 3.3 Basin of Attraction -- 4 Analysis of Model (2) -- 4.1 Fixed Points and Their Stability -- 4.2 Stability via Lyapunov Function -- 5 Numerical Simulations of Model (2) -- 5.1 Phase Plane Diagrams -- 5.2 Time Series Diagrams -- 5.3 Basin of Attraction -- 6 Conclusion -- References -- Stability of a Certain 2-Dimensional Map with Cobweb Diagram -- 1 Introduction -- 1.1 A Root Finding Algorithm -- 2 Stability of System () -- 2.1 Dynamics of System () in a Rectangular Region.2.2 Stability of System () with Cobweb Diagram -- 3 Conclusions -- A Related Lemmas/Theorems -- References -- A New Heuristic for Bandwidth and Profile Reductions of Matrices Using a Self-organizing Map -- 1 Introduction -- 2 Self-organizing Map with Winner-takes-most Approach -- 3 Self-organizing Map Applied to Bandwidth and Profile Reductions -- 4 Description of Tests -- 5 Results and Analysis -- 5.1 Tests with the Harwell-Boeing Sparse Matrix Collection -- 5.2 Simulations with Linear Systems Originated from Discretization of the Heat Conduction Equation by Finite Volumes -- 5.3 Simulations with Linear Systems Arising from the Discretization of the Laplace Equation by Finite Volumes -- 6 Conclusions -- References -- Modeling Combustions: The ab initio Treatment of the O(3P) + CH3OH Reaction -- 1 Introduction -- 2 Ab Initio Calculations of the Molecular Geometries and Energies -- 3 The Fitting of the Potential Energy Surface -- 4 Dynamical Calculations and Probabilities -- 5 Conclusions -- References -- Point Placement in an Inexact Model with Applications -- 1 Introduction -- 2 The Distance Geometry Approach -- 2.1 Algorithm DGPL -- 2.2 Simulating DGPL -- 3 Mumey's Approach to the Probe Location Problem -- 3.1 Overview of Mumey's Algorithm -- 4 Experimental Results -- 5 Three Dimensional Embedding -- 6 Conclusions -- References -- Development and Validation of a Logistic Regression Model to Estimate the Risk of WMSDs in Portuguese Home Care Nurses -- 1 Introduction -- 2 Problem Description -- 3 Model Development -- 3.1 Sample Size Considerations -- 4 Model Validation -- 5 Materials and Methods -- 6 Results -- 7 Conclusion -- References -- Analytical Spatial-Angular Structure of Uniform Slab Radiation Fields for Strongly Elongated Phase Functions -- Abstract -- 1 Introduction.2 New Integral Equations for Upgoing and Downgoing Intensities of Inner Radiation Fields -- 3 Fitting Analytical Approximations for Upgoing and Downgoing Intensities of Radiation Fields -- 4 Results of Auxiliary Functions and Slab's Brightness Coefficients Numerical Modelling -- 5 Conclusion -- References -- Acetone Clusters Molecular Dynamics Using a Semiempirical Intermolecular Potential -- 1 Introduction -- 2 Potential Energy Surface -- 3 The Simulation Protocol of the Molecular Dynamics -- 4 The (CH3-CO-CH3)2 and (CH3-CO-CH3)3 Small Aggregates -- 5 Conclusions -- References -- Cumulative Updating of Network Reliability with Diameter Constraint and Network Topology Optimization -- 1 Introduction -- 2 Problem Statement -- 3 Brief Survey of Exact Methods for Network Reliability Calculation -- 4 Cumulative Updating of Network Reliability -- 5 Genetic Algorithm -- 6 Artificial Immune System -- 7 Case Studies -- 8 Conclusion -- References -- Set Covering Problem Resolution by Biogeography-Based Optimization Algorithm -- 1 Introduction -- 2 Set Covering Problem -- 2.1 Formal Definition -- 3 Biogeography-Based Optimization Algorithm -- 3.1 Migration Operator -- 3.2 Mutation Operator -- 3.3 Algorithm Description -- 4 Biogeography-Based Optimization Algorithm for the SCP -- 4.1 General Considerations -- 4.2 Fitness -- 4.3 Repair Infeasible Solutions -- 4.4 Delete Redundant Columns -- 4.5 Optimize Stagnation in Local Optimum -- 5 Experiments and Results -- 6 Conclusion -- References -- Finding Solutions of the Set Covering Problem with an Artificial Fish Swarm Algorithm Optimization -- 1 Introduction -- 2 Set Covering Problem -- 2.1 How Has It Been Solved Before? -- 2.2 Metaheuristics that Have Solved SCP -- 2.3 Metaheuristics, Bio-Inspired and AFSA -- 3 Artificial Fish Swarm Algorithm -- 3.1 Main Behaviors of AFSA -- 3.2 Another Description of AFSA.3.3 Proposed Algorithm of AFSA Binary Version -- 4 Artificial Fish Swarm Algorithm and Its Simplified Binary Version -- 4.1 Features that Were Modified in AFSA -- 4.2 Initialization of Population -- 4.3 Generation of Trial Population -- 4.4 The Effect-Based Crossover in Simplified Binary Version of AFSA -- 4.5 Deal with Constraints of SCP -- 4.6 Selection of New Population -- 4.7 Reinitialization of Current Population -- 4.8 Exploitation or Local Search -- 4.9 Conditions to Finish the Algorithm -- 4.10 AFSA-SCP Proposed Algorithm -- 5 Experimental Results -- 6 Conclusions -- References -- Linear Programming in a Multi-Criteria Model for Real Estate Appraisal -- Abstract -- 1 Introduction -- 2 The Mathematical Formalism of the Model -- 3 The Case Study -- 4 The Results -- 5 Conclusion -- References -- A Prioritisation Model Aiding for the Solution of Illegal Buildings Problem -- Abstract -- 1 Introduction -- 2 The Problem of Illegal Buildings in Italy -- 3 The Management of Illegal Building Activity in Italy -- 4 Assigning an Order of Precedence on Demolition of Illegal Building Works -- 5 The Assessment Points of View -- 6 Choice of the Evaluation Aggregation Procedure -- 7 The TOPSIS Method -- 7.1 Literary Review -- 7.2 Basic Concepts and Features -- 7.3 The Aggregative Procedure -- 8 Weights Elicitation -- 9 Verification of the Assessment Model -- 10 Concluding Remarks -- References -- Solving the Set Covering Problem with a Binary Black Hole Inspired Algorithm -- 1 Introduction -- 2 Conceptual Context -- 2.1 SCP Explanation and Detail -- 2.2 Black Holes -- 3 Algorithm -- 3.1 Big Bang -- 3.2 Fitness Evaluation -- 3.3 Rotation Operator -- 3.4 Collapse into the Black Hole -- 3.5 Implementation -- 3.6 Feasibility and Unfeasibility -- 3.7 Event Horizon -- 4 Experimental Results -- 5 Analysis and Conclusions -- References.Solving Biobjective Set Covering Problem Using Binary Cat Swarm Optimization Algorithm -- 1 Introduction -- 2 Basic Concepts -- 2.1 Swarm Intelligent -- 2.2 Multi Objective -- 2.3 Pareto Dominance -- 2.4 Hypervolume -- 3 Set Covering Problem -- 4 Cat Swarm Optimization CSO -- 4.1 Basic Concepts -- 4.2 Parameters Important -- 4.3 Description of Cat Swarm Optimization - Main Algorithm -- 4.4 Seeking Mode -- 4.5 Tracing Mode -- 5 The Execution of the Algorithm -- 6 Experimental Results -- 7 Conclusion and Future Work -- References -- An Accelerated Multistart Derivative-Free Framework for the Beam Angle Optimization Problem in IMRT -- 1 Introduction -- 2 Multistart Derivative-Free Framework for BAO -- 2.1 BAO Formulation -- 2.2 FMO for an Intra-cranial Tumor Case -- 2.3 Multistart Approach for the Continuous BAO Problem -- 3 Computational Results -- 4 Conclusions and Future Work -- References -- Collisional Energy Exchange in CO2--N2 Gaseous Mixtures -- 1 Introduction -- 2 Intermolecular Interactions by the Bond-Bond Approach -- 2.1 Extension of the Bond-Bond Model -- 3 Molecular Dynamics Simulations -- 4 Conclusions -- References -- A Theoretical and Computational Approach to a Semi-classical Model for Electron Spectroscopy Calculations in Collisional Autoionization Processes -- Abstract -- 1 Introduction -- 2 Experimental -- 3 A New Semi-classical Computational Approach for the Electron Kinetic Energy Spectra Calculation -- 4 Conclusions -- Acknowledgments -- References -- Solving Set Covering Problem with Fireworks Explosion -- 1 Introduction -- 2 Set Covering Problem -- 3 Fireworks Algorithm -- 3.1 Components of FWA -- 4 Binary Firework Algorithm -- 5 Solving the Set Covering Problem -- 6 Result -- 7 Conclusions -- References -- Simulation of Space Charge Dynamics in High Intensive Beams on Hybrid Systems -- 1 Introduction.2 Lie Algebra in Accelerator Physics.The five-volume set LNCS 9786-9790 constitutes the refereed proceedings of the 16th International Conference on Computational Science and Its Applications, ICCSA 2016, held in Beijing, China, in July 2016. The 239 revised full papers and 14 short papers presented at 33 workshops were carefully reviewed and selected from 849 submissions. They are organized in five thematical tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies.Theoretical Computer Science and General Issues,2512-2029 ;9786Computer networksAlgorithmsSoftware engineeringComputer simulationApplication softwareData miningComputer Communication NetworksAlgorithmsSoftware EngineeringComputer ModellingComputer and Information Systems ApplicationsData Mining and Knowledge DiscoveryComputer networks.Algorithms.Software engineering.Computer simulation.Application software.Data mining.Computer Communication Networks.Algorithms.Software Engineering.Computer Modelling.Computer and Information Systems Applications.Data Mining and Knowledge Discovery.004.6Gervasi Osvaldoedthttp://id.loc.gov/vocabulary/relators/edtMurgante Beniaminoedthttp://id.loc.gov/vocabulary/relators/edtMisra Sanjayedthttp://id.loc.gov/vocabulary/relators/edtRocha Ana Maria A. Cedthttp://id.loc.gov/vocabulary/relators/edtTorre Carmelo Medthttp://id.loc.gov/vocabulary/relators/edtTaniar Davidedthttp://id.loc.gov/vocabulary/relators/edtApduhan Bernady Oedthttp://id.loc.gov/vocabulary/relators/edtStankova Elenaedthttp://id.loc.gov/vocabulary/relators/edtWang Shangguangedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465686403316Computational Science and Its Applications - ICCSA 20162589707UNISA