Advances in Soft Computing Engineering Design and Manufacturing

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:
- New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing.
- Keynote papers by world-renowned researchers in the field.
- A good overview of current soft computing research around the world.

A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering.

Fault Diagnosis of Air-conditioning System Using CMAC Neural Network Approach.- Prototypes Stability Analysis in the Design of Radial Basis Function Neural Networks.- Canadian Weather Analysis Using Connectionist Learning Paradigms.- Application of Neural Networks and Expert Systems in a hierarchical approach to the intelligent greenhouse control.- Artificial Neural Networks Design using Evolutionary Algorithms.- TACDSS: Adaptation Using a Hybrid Neuro-Fuzzy System.- Visual Inspection of Fuzzy Clustering Results.- Benchmark Between Three Controllers in IFOC: PI, IP and New Fuzzy-PI Regulator.- Determining the Model Order of Nonlinear Input-Output Systems by Fuzzy Clustering.- Fuzzy Self-Organizing Map based on Regularized Fuzzy c-means Clustering.- Outline Representation of Fonts Using Genetic Approach.- Process-Oriented Plant Layout Design using a Fuzzy Set Decomposition Algorithm.- A Fuzzy Colour Image Segmentation Applied to Robot Vision.- Applying Rule Weight Derivation to Obtain Cooperative Rules.- XML based Modelling of Soft Computing Methods.- Intelligent information retrieval: some research trends.- Representation of Concept Specialization Distance through Resemblance Relations.- Kernel-based Face Recognition by a Reformulation of Kernel Machines.- Face Recognition Using Multi Log-Polar Images and Gabor Filters.- Performance Analysis of Statistical Classifier SMO with other Data Mining Classifiers.- Two term-layers: an alternative topology for representing term relationships in the Bayesian Network Retrieval Model.- C-FOCUS: A continuous extension of FOCUS.- 2D Image registration with iterated local search.- Evolutionary Multiobjective Optimization: Current and Future Challenges.- Function Finding and the Creation of Numerical Constants in Gene Expression Programming.- A Hybrid Genetic Algorithm for Multi-Hypothesis Tracking.- Differential Evolution Algorithm With Adaptive Control Parameters.- A Distributed-Population GA for Discovering Interesting Prediction Rules.- Confidence interval based crossover using a L1 norm localization estimator for real-coded genetic algorithms.- Cooperative Particle Swarm Optimization for Robust Control System Design.- 1-D Parabolic Search Mutation.- Global optimization of climate control problems using evolutionary and stochastic algorithms.- A Hybrid CHC Genetic Algorithm for Macro Cell Global Routing.- Genetic Models for the Rational Exploitation of Resources.- Discrete Variable Structure Control Design based on Lamarckian Evolution.- GA-P Based Search of Structures and Parameters of Dynamical Process Models.- Author Index.