I. C. Parmee
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I. C. Parmee
Adaptive Computing in Design and Manufacture VI (eBook, PDF)
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Demand for this book will come from academics and practitioners in soft computing, engineering design and manufacturing who are desirous of keeping abreast of a very fast-moving subject but who are unable to travel to the conference.
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Demand for this book will come from academics and practitioners in soft computing, engineering design and manufacturing who are desirous of keeping abreast of a very fast-moving subject but who are unable to travel to the conference.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer London
- Seitenzahl: 391
- Erscheinungstermin: 27. Juni 2011
- Englisch
- ISBN-13: 9780857293381
- Artikelnr.: 44062707
- Verlag: Springer London
- Seitenzahl: 391
- Erscheinungstermin: 27. Juni 2011
- Englisch
- ISBN-13: 9780857293381
- Artikelnr.: 44062707
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
I.C. Parmee, University of the West of England, Bristol, UK
1. Plenary Papers.- 1.1 The Everyday Engineering of Organizational and Engineering Innovation.- 1.2 Mixing Maths with Cases.- 2. Engineering Design Applications.- 2.1 Morphogenic Evolutionary Design: Cellular Automata Representations in Topological Structural Design.- 2.2 Design Search and Optimisation using Radial Basis Functions with Regression Capabilities.- 2.3 Genetic Programming Within Civil Engineering.- 2.4 Enhancing Automated Process Design with Cognitive Agents, Distributed Software Components and Web Repositories.- 2.5 Robust Solutions in Engineering Design - Stochastic Simulation vs DACE.- 2.6 Adaptive Search for an Optimum in a Problem of Oil Stabilisation Process Design.- 2.7 Application of Artificial Neural Networks in Differential Pulse Code Modulation Scheme.- 3. Manufacturing Processes.- 3.1 Job?Shop Scheduling using the Clonal Selection Technique.- 3.2 Genetic Optimisation of Machine Tool Paths.- 3.3 Automating the Analysis of Wafer Data Using Adaptive Resonance Theory Networks.- 3.4 Job Shop Scheduling using Multi?Agent Systems.- 3.5 Tool Wear Prediction Approach for Turning Operations Based on General Regression Neural Network (GRNN) Technique.- 3.6 An Efficient Genetic Algorithm to solve the Manufacturing Cell Formation Problem.- 3.7 Evolutionary Simulated Annealing Algorithms for Uncapacitated Facility Location Problems.- 4. Interactive Evolutionary Design and Manufacture.- 4.1 A Technique for Evaluation of Interactive Evolutionary Systems.- 4.2 Interactive Evolutionary Strategy Based Discovery of Image Segmentation Parameters.- 4.3 Extraction of Emerging Multi?Objective Design Information from COGA Data.- 4.4 Building Compact Rulesets for Describing Continuous?Valued Problem Spaces Using a Learning Classifier System.- 5. EvolutionaryMulti?objective and Constraint Satisfaction.- 5.1 Metamodel Assisted Multi?objective Optimisation Algorithms and their Application in Airfoil Design.- 5.2 Mechanical Component Design for Multiple Objectives using Generalised Differential Evolution.- 5.3 Multidisciplinary Aircraft Conceptual Design Optimisation Using a Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPEA).- 5.4 CSAA: A Constraint Satisfaction Ant Colony Framework.- 5.5 Adaptive Computing in Support of Traffic Management.- 6. Control and Robotics.- 6.1 An Online Hierarchical Fuzzy Rule Based System for Mobile Robot Controllers.- 6.2 Improving Robot Manipulator Performance with Adaptive Neuro-Control.- 7. Algorithm Development.- 7.1 New Strategies in Differential Evolution.- 7.2 Balanced Random and Adaptive Interval Arithmetic for Systems of Linear Interval Equations.- 7.3 An Effective Real Parameter Genetic Algorithm for Multi?modal Optimisation.- 7.4 Dynamic Graph Drawing with a Hybridized Genetic Algorithm.- 7.5 Quantum?Inspired Evolution Algorithm: Experimental Analysis.- Author Index.
1. Plenary Papers.- 1.1 The Everyday Engineering of Organizational and Engineering Innovation.- 1.2 Mixing Maths with Cases.- 2. Engineering Design Applications.- 2.1 Morphogenic Evolutionary Design: Cellular Automata Representations in Topological Structural Design.- 2.2 Design Search and Optimisation using Radial Basis Functions with Regression Capabilities.- 2.3 Genetic Programming Within Civil Engineering.- 2.4 Enhancing Automated Process Design with Cognitive Agents, Distributed Software Components and Web Repositories.- 2.5 Robust Solutions in Engineering Design - Stochastic Simulation vs DACE.- 2.6 Adaptive Search for an Optimum in a Problem of Oil Stabilisation Process Design.- 2.7 Application of Artificial Neural Networks in Differential Pulse Code Modulation Scheme.- 3. Manufacturing Processes.- 3.1 Job?Shop Scheduling using the Clonal Selection Technique.- 3.2 Genetic Optimisation of Machine Tool Paths.- 3.3 Automating the Analysis of Wafer Data Using Adaptive Resonance Theory Networks.- 3.4 Job Shop Scheduling using Multi?Agent Systems.- 3.5 Tool Wear Prediction Approach for Turning Operations Based on General Regression Neural Network (GRNN) Technique.- 3.6 An Efficient Genetic Algorithm to solve the Manufacturing Cell Formation Problem.- 3.7 Evolutionary Simulated Annealing Algorithms for Uncapacitated Facility Location Problems.- 4. Interactive Evolutionary Design and Manufacture.- 4.1 A Technique for Evaluation of Interactive Evolutionary Systems.- 4.2 Interactive Evolutionary Strategy Based Discovery of Image Segmentation Parameters.- 4.3 Extraction of Emerging Multi?Objective Design Information from COGA Data.- 4.4 Building Compact Rulesets for Describing Continuous?Valued Problem Spaces Using a Learning Classifier System.- 5. EvolutionaryMulti?objective and Constraint Satisfaction.- 5.1 Metamodel Assisted Multi?objective Optimisation Algorithms and their Application in Airfoil Design.- 5.2 Mechanical Component Design for Multiple Objectives using Generalised Differential Evolution.- 5.3 Multidisciplinary Aircraft Conceptual Design Optimisation Using a Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPEA).- 5.4 CSAA: A Constraint Satisfaction Ant Colony Framework.- 5.5 Adaptive Computing in Support of Traffic Management.- 6. Control and Robotics.- 6.1 An Online Hierarchical Fuzzy Rule Based System for Mobile Robot Controllers.- 6.2 Improving Robot Manipulator Performance with Adaptive Neuro-Control.- 7. Algorithm Development.- 7.1 New Strategies in Differential Evolution.- 7.2 Balanced Random and Adaptive Interval Arithmetic for Systems of Linear Interval Equations.- 7.3 An Effective Real Parameter Genetic Algorithm for Multi?modal Optimisation.- 7.4 Dynamic Graph Drawing with a Hybridized Genetic Algorithm.- 7.5 Quantum?Inspired Evolution Algorithm: Experimental Analysis.- Author Index.







