Adaptive Computing in Design and Manufacture V

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ISBN: 1852336056
ISBN 13: 9781852336059
Herausgeber: I C Parmee
Verlag: Springer Verlag GmbH
Umfang: xi, 393 S., 103 s/w Illustr., 393 p. 103 illus.
Erscheinungsdatum: 18.04.2002
Auflage: 1/2002
Produktform: Kartoniert
Einband: KT
Artikelnummer: 5967471 Kategorie:

Beschreibung

InhaltsangabeChapter 1 Plenary Papers Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms Notes on Design Through Artificial Evolution: Opportunities and Algorithms Testing, Evaluation and Performance of Optimisation and Learning Systems From Evolutionary Computation to Natural Computation Chapter 2 Engineering Design ApplicationsExperiences with Hybrid Evolutionary/Local Optimisation for Process Design The Development of a Grid-based Engineering Design Problem Solving EnvironmentA Hybrid Search Technique for Inverse Transient Analysis in Water Distribution SystemsOptimisation of Thermal Power Plant Designs: A Graphbased Adaptive Search Approach Genetic Algorithm Search for Stent Design Improvements A Multiobjective Optimisation Approach for the Conceptual Design of Frame Structures MultiObjective Evolutionary Topological Optimum Design Better Surface Intersections by Constrained EvolutionInverse Identification of Boundary Constants for Electronic Packages Using Modified Micro-genetic Algorithm and the Reduced-basis Method Extrinsic Evolution of Finite State Machines Chapter 3 Manufacturing Processes Neural Computing Approach to Shape Change Estimation in Hot Isostatic PressingMulti-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms A New Approach to Packing Non-Convex Polygons Using the No Fit Polygon and MetaHeuristic and Evolutionary Algorithms Chapter 4 System/Process Control Evolutionary Multi-criteria Optimisation for Improved Design of Optimal Control Systems Explorations in Fuzzy Classifier System Architectures Evolving Temporal Rules with the Delayed Action Classifier System - Analysis and New Results Adaptive Image Segmentation Based on Visual Interactive Feedback LearningChapter 5 Strategy/Algorithm DevelopmentAdapting Problem Specifications and Design Solutions Using Co-evolution Handling Constraints in Genetic Algorithms Using Dominance-based TournamentsThe Optimisation of Multi-variate Robust Design CriteriaLearning from Experience: Case Injected Genetic Algorithm Design of Combinational Logic Circuits Constrained Optimisation with the Fuzzy Clustering Evolution StrategyConstrained Optimisation Using an Evolutionary Programming-based Cultural Algorithm A Data Mining Tool Using an Intelligent Processing System with a Clustering Application Chapter 6 Multiple Objectives, Preferences and Agent-Support Full Elite Sets for Multi-objective Optimisation Agentbased Support within an Interactive Evolutionary Design SystemA Multiagent Architecture for Business Process Management Adapts to Unreliable Performance Realtime Coordinated Scheduling Using a Genetic Algorithm

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