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Evolutionary Design and Manufacture

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Cover of 'Evolutionary Design and Manufacture'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization of Power Plant Design: Stochastic and Adaptive Solution Concepts
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    Chapter 2 Intelligent Searcher for the Configuration of Power Transmission Shafts in Gearboxes
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    Chapter 3 Post-Processing of the Two-Dimensional Evolutionary Structural Optimisation Topologies
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    Chapter 4 Optimisation of a Stator Blade Used in a Transonic Compressor Cascade with Evolution Strategies
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    Chapter 5 Mixed-Integer Evolution Strategy for Chemical Plant Optimization with Simulators
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    Chapter 6 Advantages in Using a Stock Spring Selection Tool that Manages the Uncertainty of the Designer Requirements
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    Chapter 7 Designing Food with Bayesian Belief Networks
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    Chapter 8 Flexible Ligand Docking Using a Robust Evolutionary Algorithm
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    Chapter 9 Network Design Techniques Using Adapted Genetic Algorithms
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    Chapter 10 Adaptive Techniques for Evolutionary Topological Optimum Design
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    Chapter 11 Representation in Architectural Design Tools
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    Chapter 12 Fitting of Constrained Feature Models to Poor 3D Data
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    Chapter 13 Exploring Component-based Representations - The Secret of Creativity by Evolution?
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    Chapter 14 Evolutionary Design of Facilities Considering Production Uncertainty
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    Chapter 15 A Fuzzy Clustering Evolution Strategy and its Application to Optimisation of Robot Manipulator Movement
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    Chapter 16 An Industry-based Development of the Learning Classifier System Technique
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    Chapter 17 A Genetic Programming-based Hierarchical Clustering Procedure for the solution of the Cell-Formation Problem
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    Chapter 18 Multi-Objective Evolutionary Optimization: Past, Present, and Future
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    Chapter 19 City Planning with a Multiobjective Genetic Algorithm and a Pareto Set Scanner
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    Chapter 20 Designer’s Preferences and Multi—objective Preliminary Design Processes
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    Chapter 21 Improving the Robustness of COGA: The Dynamic Adaptive Filter
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    Chapter 22 Efficient Evolutionary Algorithms for Searching Robust Solutions
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    Chapter 23 A Comparison of Semi-deterministic and Stochastic Search Techniques
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    Chapter 24 A Multi-population Approach to Dynamic Optimization Problems
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    Chapter 25 Short Term Memory in Genetic Programming
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    Chapter 26 Application of Bayesian Neural Networks to non-linear function modelling for Powder Metals
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    Chapter 27 Development of an Iterative Neural Network and Genetic Algorithm Procedure for Shipyard Scheduling
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    Chapter 28 Adaptive radial basis function emulators for robust design
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    Chapter 29 An Evolutionary Neural Network Controller for Intelligent Active Force Control
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    Chapter 30 Quality Inspection of Veneer Using Soft-Computing Methods
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Title
Evolutionary Design and Manufacture
Published by
Springer London, December 2012
DOI 10.1007/978-1-4471-0519-0
ISBNs
978-1-85233-300-3, 978-1-4471-0519-0
Editors

Parmee, I. C.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Student > Master 2 12%
Professor 1 6%
Student > Bachelor 1 6%
Researcher 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Engineering 5 29%
Computer Science 5 29%
Mathematics 1 6%
Unknown 6 35%