Parmee Adaptive Computing in Design and Manufacture V

2002
ISBN: 978-0-85729-345-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 393 Seiten, eBook

The Adaptive Computing in Design and Manufacture Conference series is now in its tenth year and has become a well-established, application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. The main theme of the conference again relates to the integration of evolutionary and adaptive computing technologies with design and manufacturing processes whilst also taking into account complementary advanced computing technologies. Evolutionary and adaptive computing techniques continue to increase their penetration of industrial and commercial practice as their powerful search, exploration and optimisation capabilities become ever more apparent. The last two years have seen a very significant increase in the development of commercial software tools utilising adaptive computing technologies and the emergence of related commercial research and consultancy organisations supporting the introduction of best practice in terms of industrial utilisation. Adaptive Computing in Design and Manufacture V is comprised of selected papers that cover a diverse set of industrial application areas including: engineering design and design environments, manufacturing process design, scheduling and control, electronic circuit design, fault detection. Various aspects of search and optimisation such as multi-objective and constrained optimisation are also investigated in the context of integration with industrial processes. In addition to evolutionary computing techniques, both neural-net and agent-based technologies play a role in a number of contributions. This collection of papers will be of particular interest to both industrial researchers and practitioners in addition to the academic research communities of engineering, operational research and computer science.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Parmee, I.C.

Inhaltsverzeichnis

Chapter 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
Graph-based Adaptive Search Approach
Genetic Algorithm Search for Stent Design Improvements
A Multi-objective Optimisation Approach for the Conceptual Design of Frame
Structures
Multi-Objective 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
Meta-Heuristic 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
Agent-based Support within an Interactive Evolutionary Design SystemA
Multi-agent Architecture for Business Process Management Adapts to
Unreliable Performance
Real-time Co-ordinated Scheduling Using a Genetic Algorithm