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Paperback(Softcover reprint of the original 1st ed. 2004)
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Overview
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 shastic 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.
Product Details
| ISBN-13: | 9781852338299 |
|---|---|
| Publisher: | Springer London |
| Publication date: | 04/08/2004 |
| Series: | Adaptive Computing in Design and Manufacture Conference |
| Edition description: | Softcover reprint of the original 1st ed. 2004 |
| Pages: | 391 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |
Table of Contents
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 — Shastic 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.From the B&N Reads Blog
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