Adaptive Computing in Design and Manufacture VI

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Ian Parmee
Springer Science & Business Media, May 11, 2004 - Computers - 391 pages
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The Adaptive Computing in Design and Manufacture conference series has become a well-established, largely application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. The main theme of the series 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 awareness of their powerful search, exploration and optimisation capabilities becomes ever more prevalent, and increasing desk-top computational capability renders stochastic population-based search a far more viable proposition. There has been a significant increase in the development and integration 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. The book is comprised of selected papers that cover a diverse set of industrial application areas including engineering design and design environments and manufacturing process design, scheduling and control. Various aspects of search, exploration and optimisation are investigated in the context of integration with industrial processes including multi-objective and constraint satisfaction, development and utilization of meta-models, algorithm and strategy development and human-centric evolutionary approaches. The role of agent-based and neural net technologies in terms of supporting search processes and providing an alternative simulation environment is also explored. This collection of papers will be of particular interest to both industrial researchers and practitioners in addition to the academic research communities across engineering, operational research and computer science.
  

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Contents

The Everyday Engineering of Organizational and Engineering Innovation
3
Mixing Maths with Cases
13
Cellular Automata Representations in Topological Structural Design
25
Design search and optimisation using radial basis functions with regression capabilities
39
Genetic Programming within Civil Engineering
51
Enhancing Automated Process Design with Cognitive Agents Distributed Software Components and Web Repositories
63
stochastic simulation versus DACE
75
Adaptive Search for Optimum in a Problem of Oil Stabilization Process Design
87
Interactive Evolutionary Strategy Based Discovery of Image Segmentation Parameters
209
Extraction of Emerging MultiObjective Design Information from COGA Data
221
Building Compact Rulesets for Describing ContinuousValued Problem Spaces Using a Learning Classifier System
235
Metamodel Assisted Multiobjective Optimisation Strategies and their Application in Airfoil Design
249
Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution
261
Multidisciplinary Aircraft Conceptual Design Optimisation Using a Hierarchical Asynchronous Parallel Evolutionary Algorithm HAPEA
273
a Constraint Satisfaction Ant Algorithm Framework
285
Adaptive Computing in Support of Traffic Management
295

Application of Artificial Neural Networks In Differential Pulse Code Modulation Scheme
99
Job Shop Scheduling using the Clonal Selection Principle
113
Genetic Optimisation of Machine Tool Paths
125
Automating the Analysis of Wafer Data Using Adaptive Resonance Theory Networks
137
Job Shop Scheduling using MultiAgent Systems
149
Tool Wear Prediction Approach for Turning Operations Based on General Regression Neural Network GRNN Technique
161
An Efficient Genetic Algorithm to Solve the Manufacturing Cell Formation Problem
173
Evolutionary Simulated Annealing Algorithms for Uncapacitated Facility Location Problems
185
A Technique for Evaluation of Interactive Evolutionary Systems
197
An Online Hierarchical Fuzzy Rule Based System for Mobile Robot Controllers
309
Improving Robot Manipulator Performance with Adaptive NeuroControl
321
New Strategies in Differential Evolution
335
Balanced Random and Adaptive Interval Arithmetic for Systems of Linear Interval Equations
347
An Effective RealParameter Genetic Algorithm for Multimodal Optimisation
359
Dynamic Graph Drawing with a Hybridized Genetic Algorithm
365
Experimental Analysis
377
Author Index
391
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