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Computer Aided Methods in Optimal Design and Operations : Vilnius, Lithuania.
Title:
Computer Aided Methods in Optimal Design and Operations : Vilnius, Lithuania.
Author:
Bogle, I D L.
ISBN:
9789812772954
Personal Author:
Physical Description:
1 online resource (238 pages)
Series:
Series on Computers and Operations Research ; v.7

Series on Computers and Operations Research
Contents:
Contents -- Preface -- Hybrid Methods for Optimisation -- 1. Introduction -- 2. Hybrid Methods for Optimisation -- 3. Embedded Hybrid Methods -- 4. Sequential Hybrid Methods -- 5. Illustrative Case Study -- 6. Discussion -- References -- An MILP Model for Multi-class Data Classification -- 1. Introduction -- 2. Problem Statement and Mathematical Formulation -- 3. Testing Procedure -- 4. An Iterative Solution Algorithm -- 5. Computational Results -- 6. Conclusions -- References -- Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template -- 1. Introduction -- 2. General Branch and Bound Algorithm -- 3. BB Algorithm Template -- 4. Conclusions -- References -- Application of Stochastic Approximation in Technical Design -- 1. Introduction -- 2. Formulation of the Optimization Problem -- 3. Computer Modelling -- 4. Application of Order Statistic to Optimality Testing -- 5. Computer Modelling -- 6. Conclusion -- References -- Application of the Monte-Carlo Method to Stochastic Linear Programming -- 1. Introduction -- 2. Stochastic Differentiation and Monte-Carlo Estimators -- 3. Stochastic Procedure for Optimisation -- 4. Statistical Testing of the Optimality Hypothesis -- 5. Computer Study -- 6. Discussion and Conclusions -- References -- Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation -- 1. Introduction -- 2. The General Quadratic Case -- 3. The Steepest Descent Algorithm -- 4. Results -- 5. Conclusion -- References -- A Synergy Exploiting Evolutionary Approach to Complex Scheduling Problems -- 1. Introduction -- 2. Problem Definition -- 3. Hyper-Scheduler -- 4. Computational Experience -- 5. Conclusion -- References -- Optimal Configuration, Design and Operation of Hybrid Batch Distillation/Pervaporation Processes -- 1. Introduction.

2. The Batch Separation Synthesis Problem -- 3. Conclusions -- References -- Optimal Estimation of Parameters in Market Research Models -- 1. Introduction -- 2. Background -- 3. Parameter Estimation for a Unit Time Period -- 4. Parameter Estimation for a General Time Period -- 5. Conclusion -- References -- A Redundancy Detection Approach to Mining Bioinformatics Data -- 1. Introduction -- 2. Formulation of the Key Equivalence Problem -- 3. Solution Approach -- 4. Experimental Results -- 5. Conclusion -- References -- Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation -- 1. Introduction -- 2. Particle Size Distribution Modelling and Numerical Solution -- 3. Open-loop Control Studies -- 4. Pareto Optimisation -- 5. Conclusions -- References -- Application of Parallel Arrays for Parallelisation of Data Parallel Algorithms -- 1. Introduction -- 2. Parallel Programming Tools and Standards -- 3. ParSol Features -- 4. ParSol Structure and Usage -- 5. Application of Par Sol to Porous Media Problem Solver -- 6. Application of ParSol to Image Smoothing -- 7. Conclusions -- References -- CAD Grammars: Extending Shape and Graph Grammars for Spatial Design Modelling -- 1. Introduction -- 2. Shape Grammars -- 3. Graph Grammars -- 4. Shapes and Graphs -- 5. CAD Grammar Fundamentals -- 6. Extension 1: Length and Angle Constraints -- 7. Extension 2: Modification -- 8. Extension 3: Line types -- 9. Partial Grammars -- 10. Application Domain - Process Plant Layout Design -- 11. Conclusion -- References -- Multidimensional Scaling Using Parallel Genetic Algorithm -- 1. Introduction -- 2. Hybrid Global Optimization for Multidimensional Scaling -- 3. Experimental Investigation -- 4. Conclusions -- References.

Multidimensional Scaling in Protein and Pharmacological Sciences -- 1. Introduction -- 2. Multidimensional Scaling of Pharmacological Binding Affinity Data -- 3. Results of Experiments -- 4. Conclusions -- References -- On Dissimilarity Measurement in Visualization of Multidimensional Data -- 1. Introduction -- 2. Basics of Multidimensional Scaling -- 3. Dissimilarities in the Original Space -- 4. Data Sets -- 5. Methods -- 6. Testing Result -- 7. Conclusions -- References -- Correction of Distances in the Visualization of Multidimensional Data -- 1. Introduction -- 2. Influence of Distance Correction on the Visualization Results -- 3. Distribution of Distances Between Uniformly Distributed Points in a Unit Multidimensional Hypercube -- 4. The Basic Idea of the Improving Correction -- 5. Experimental Estimation of the Correction Results -- 6. Conclusions -- References -- Forecasting of Bankruptcy with the Self-organizing Maps on the Basis of Altman's Z-score -- 1. Introduction -- 2. Methodology -- 3. Investigations -- 4. Concluding Remarks -- References -- The Most Appropriate Model to Estimate Lithuanian Business Cycle -- 1. Introduction -- 2. Theoretical Framework -- 3. Empirical Analysis -- 4. Results -- 5. Conclusions -- References -- Evaluating the Applicability of Time Temperature Integrators as Process Exploration and Validation Tools -- 1. Introduction -- 2. Materials and Methods -- 3. Results and Discussion, Estimation of the TTIs Variability -- 4. Conclusions -- References -- Optimal Deflection Yoke Tuning -- 1. Introduction -- 2. What Was Done Before? -- 3. Artificial Neural Networks -- 4. Collecting of the Data for ANN Training -- 5. Search Procedure -- 6. Experiments -- References.

Analysis of an Extractive Fermentation Process for Ethanol Production Using a Rigorous Model and a Short-Cut Method -- 1. Introduction -- 2. Rigorous Modelling of Continuous Extractive Fermentation -- 3. Preliminary Short-Cut Method -- 4. Results and Discussion -- 5. Conclusions -- References -- Application of Generic Model Control for Autotrophic Biomass Specific Growth Control -- 1. A Short Introduction to Wastewater Treatment Process -- 2. Mathematical Model -- 3. Process Control -- 4. Conclusions -- References.
Abstract:
This book covers different topics on optimal design and operations with particular emphasis on chemical engineering applications. A wide range of optimization methods - deterministic, stochastic, global and hybrid - are considered. Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers' contributions from different fields - chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics. Sample Chapter(s). Chapter 1: Hybrid Methods for Optimisation (520 KB). Contents: Hybrid Methods for Optimisation (E S Fraga); An MILP Model for Multi-Class Data Classification (G Xu & L G Papageorgiou); Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation (R J Haycroft); Optimal Estimation of Parameters in Market Research Models (V Savani); A Redundancy Detection Approach to Mining Bioinformatics Data (H Camacho & A Salhi); Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation (N Bianco & C D Immanuel); Multidimensional Scaling Using Parallel Genetic Algorithm (A Varoneckas et al.); Evaluating the Applicability of Time Temperature Integrators as Process Exploration and Validation Tools (S Bakalis et al.); Optimal Deflection Yoke Tuning (V Vaitkus et al.); and other papers. Readership: Academics, researchers, practitioners and postgraduates students in operations research and engineering.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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