Advances in Soft Computing: Engineering Design and ManufacturingJose M. Benitez Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. Features: A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering. |
Contents
Fault Diagnosis of Airconditioning System Using CM AC Neural Network Approach | 1 |
Prototypes Stability Analysis in the Design of Radial Basis Function Neural Networks | 13 |
Canadian Weather Analysis Using Connectionist Learning Paradigms | 21 |
Application of Neural Networks and Expert Systems in a hierarchical approach to the intelligent greenhouse control | 33 |
Artificial Neural Networks Design using Evolutionary Algorithms | 43 |
Adaptation Using a Hybrid NeuroFuzzy System | 53 |
Visual Inspection of Fuzzy Clustering Results | 65 |
PI IP and New FuzzyPI Regulator | 77 |
an alternative topology for representing term relationships in the Bayesian Network Retrieval Model | 211 |
A continuous extension of FOCUS | 223 |
2D Image registration with iterated local search | 231 |
Current and Future Challenges | 241 |
Function Finding and the Creation of Numerical Constants in Gene Expression Programming | 255 |
A Hybrid Genetic Algorithm for MultiHypothesis Tracking | 265 |
Differential Evolution Algorithm With Adaptive Control Parameters | 275 |
A DistributedPopulation GA for Discovering Interesting Prediction Rules | 285 |
Determining the Model Order of Nonlinear InputOutput Systems by Fuzzy Clustering | 87 |
Fuzzy SelfOrganizing Map based on Regularized Fuzzy cmeans Clustering | 97 |
Outline Representation of Fonts Using Genetic Approach | 107 |
ProcessOriented Plant Layout Design using a Fuzzy Set Decomposition Algorithm | 117 |
A Fuzzy Colour Image Segmentation Applied to Robot Vision | 127 |
Applying Rule Weight Derivation to Obtain Cooperative Rules | 137 |
XML based Modelling of Soft Computing Methods | 147 |
some research trends | 157 |
Representation of Concept Specialization Distance through Resemblance Relations | 171 |
Kernelbased Face Recognition by a Reformulation of Kernel Machines | 181 |
Face Recognition Using Multi LogPolar Images and Gabor Filters | 195 |
Performance Analysis of Statistical Classifier SMO with other Data Mining Classifiers | 203 |
Confidence interval based crossover using a L1 norm localization estimator for realcoded genetic algorithms | 295 |
Cooperative Particle Swarm Optimization for Robust Control System Design | 305 |
1D Parabolic Search Mutation | 315 |
Global optimization of climate control problems using evolutionary and stochastic algorithms | 329 |
A Hybrid CHC Genetic Algorithm for Macro Cell Global Routing | 341 |
Genetic Models for the Rational Exploitation of Resources | 349 |
Discrete Variable Structure Control Design based on Lamarckian Evolution | 359 |
GAP Based Search of Structures and Parameters of Dynamical Process Models | 369 |
Author Index | 379 |
| 381 | |
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Common terms and phrases
adaptive analysis application approach architecture Bayesian network chromosomes classifiers cluster centers companies Computer Science considered convergence data set defined detection Differential Evolution distance distribution document domain dynamic error estimation evaluation evolution evolutionary algorithms Evolutionary Computation face recognition Figure fitness fuzzy clustering fuzzy set Fuzzy-PI GA-Nuggets Gabor Filters gene Genetic Algorithms genetic operators Genetic Programming global optimization IEEE individuals Information Retrieval input iterations kernel layer learning linear Log-Polar machine matrix membership degrees membership functions method multiobjective multiobjective optimization mutation neural network neurons nodes NSides number of clusters objective function obtained output paper parameters Pareto Particle Swarm Optimization partition performance points polytree population problem proposed query random relevance representation represents rule selection simulation Soft Computing solution solve SS/LS structure Table techniques tion topology variables vector weights