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Adaptive Computing in Design and Manufacture V »

Book cover image of Adaptive Computing in Design and Manufacture V by I. C. Parmee

Authors: I. C. Parmee
ISBN-13: 9781852336059, ISBN-10: 1852336056
Format: Paperback
Publisher: Springer-Verlag New York, LLC
Date Published: May 2002
Edition: (Non-applicable)

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Author Biography: I. C. Parmee

Book Synopsis

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.

Table of Contents

Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms3
Notes on Design Through Artificial Evolution: Opportunities and Algorithms17
Testing, Evaluation and Performance of Optimization and Learning Systems27
From Evolutionary Computation to Natural Computation41
Experiences with Hybrid Evolutionary/Local Optimization for Process Design53
The Development of a Grid-based Engineering Design Problem Solving Environment65
A Hybrid Search Technique for Inverse Transient Analysis in Water Distribution Systems75
Optimisation of Thermal Power Plant Designs: A Graph-based Adaptive Search Approach87
Genetic Algorithm Search for Stent Design Improvements99
A Multi-objective Optimisation Approach for the Conceptual Design of Frame Structures109
Multi-Objective Evolutionary Topological Optimum Design121
Better Surface Intersections by Constrained Evolution133
Inverse Identification of Boundary Constants for Electronic Packages Using Modified Micro Genetic Algorithm and the Reduced-basis Method143
Extrinsic Evolution of Finite State Machines157
Neural Computing Approach to Shape Change Estimation in Hot Isostatic Pressing171
Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms181
A New Approach to Packing Non-Convex Polygons Using the No Fit Polygon and Meta-Heuristic and Evolutionary Algorithms193
Evolutionary Multi-criteria Optimization for Improved Design of Optimal Control Systems207
Explorations in Fuzzy Classifier System Architectures219
Evolving Temporal Rules with the Delayed Action Classifier System - Analysis and New Results231
Adaptive Image Segmentation Based on Visual Interactive Feedback Learning243
Adapting Problem Specifications and Design Solutions Using Co-evolution257
Handling Constraints in Genetic Algorithms Using Dominance-based Tournaments273
The Optimisation of Multivariate Robust Design Criteria285
Learning from Experience: Case Injected Genetic Algorithm Design of Combinational Logic Circuits295
Constrained Optimisation with the Fuzzy Clustering Evolution Strategy307
Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm317
A Data Mining Tool Using an Intelligent Processing System with a Clustering Application329
Full Elite Sets for Multi-objective Optimisation343
Agent-based Support within an Interactive Evolutionary Design System355
A Multi-Agent Architecture for Business Process Management Adapts to Unreliable Performance369
Real-time Co-ordinated Scheduling Using a Genetic Algorithm381
Author Index393

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