Soft Computing and Industry

Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on:
keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

Part I: Keynote Papers
Diagnosis and Control for Multi-agent Systems Using Immune Networks
Universality and Complexity of Approximation of Multivariable Functions by
Feedforward Networks
The Supervised Learning No-free-lunch Theorems
Making Evolutionary Design Optimisation Popular in Industry
Theory of Incursive Synchronization and Anticipatory Computing of Chaos
Computing with Autopoietic Systems
The Internet and Education
Part II: Intelligent Control
Soft Computing for Control of Dynamical Systems
Holonic Scheduling for an Assembly Line
Intelligent Control of a Battery Charging Process with a Hybrid Approach
A Breeder Genetic Algorithm for Adaptive Filter Optimization 1= Intelligent Neural Control of Robotic Autonomous Systems Using a
Neuro-fuzzy-genetic Approach
Prediction of Power Requirement in Turning Using a GA-fuzzy Approach
Predictive Control of a Nonlinear Process Using Multiple Models
Optimization Based on Fast evolutionary Programming
Some Realisation Issues of Fuzzy Gain-scheduling Controllers: A Robotic
Manipulator Case Study
Environmental Safety and Loss Prevention in Sulphur Tank with Fuzzy L1
Norm Control
Autotuning of a Fuzzy PID Controller Based on Fuzzy Gain and Phase Margins
Two Automatic On-line New Schemes to Compensate the Torque Ripple of
Switched Reluctance Machines:
Applications of Neural Networks in Servo Systems
Part III: Classification, Clustering and Optimization
Some Methods of Clustering of Fuzzy Objects
Integration of Enhanced Adaptive Fuzzy Clustering Algorithm with
Probabilistic Technique for Dynamic Map Building
Classification of Severe Storm Cells Using Support Vector Machines
Fuzzy Clustering for the Identification of Compact Fuzzy Classifiers
Multi-constrained Non-linear Optimization by the Differential Evolution
Algorithm
Genetic Algorithms for the Assembly Line Balancing Problem
A Genetic Algorithm for the Uncapacitated Network Design Problem
An Overview of Benchmarking Techniques for Multi-objective Evolutionary
Algorithms
Fuzzy Cluster Loading for 3-way Data
Part IV: Image and Signal Processing
A Robust Multilevel Watermarking Method for Digital Images Using
Multiresolution Wavelet Decomposition
Fuzzy Relational Pattern Dynamics of the Breast Cancer Cells 1= Slope Constrained Shortest Path on Surface
Design of Explicitly or implicitly Parallel Low-resolution Character
Recognition Algorithms by means of Genetic Programming
Low-power Massively Parallel Feature Computation for Application-specific
Integrated Vision Systems
Pulse Image Processing
Soft Data Fusion in Image Processing
Eigenspace-based Face Recognition
Dimensionality Reduction and Interactive Visualization of Multivariate
Data
Part V: Agents, Multimedia and Internet
Developing Agent-based Personalized Recommender Systems
An Agent that Learns to Support Users of a Web Site
ANTS: Automatic Navigation of Terrain Systems
Greta: A Simple Facial Animation Engine
Fast Text Compression Using Artificial Neural Networks
Visualization of Data Using Genetic Algorithm
Measuring Facial Emotional Expressions Using Genetic Programming
Fuzzy Based Web Server Workload Modelling and Prediction
Part VI: Theoretical Advances and New Paradigms
Efficient and Precise Handling of a Piecewise-linear Fuzzy Set on
Computers in an Extended Knot Form
Kansei Factor Analysis Using C4.5
An Active Search Algorithm Extending GA Based Path Planning for Mobile
Robot Systems
Genetic Programming for Combining Neural Networks for Drug Discovery
Training MLP Networks by Differential Evolution Algorithm
A Genetic Algorithm Based on Cell Loss for Dynamic Routing in ATM Networks
Gene Expression Programming in Problem Solving
Studies of the XCSI Classifier System on a Data Mining Problem
Artificial Chemistry - A New Metaphor for Algorithms
Immune System Simulation Through a Complex Adaptive System Model
The Effectiveness of Mutations
Root-finding of Monotone Nonlinear Functions with Fuzzy Iterative Methods
On Partitioned Fitness-Distribution of Genetic Operators for Predicting GA
Performance
Part VII: Prediction, Design and Diagnosis
A Comparative Assessment on the Application of Knowledge-based Networks
and Genetic Algorithms to the Design of Fuzzy Diagnosis Systems for
Rotating Machinery
Evolution of a Tactile Wall-following Behavior in Real Time
Fuzzy Mimetic Approach for Prediction of Chaotic Time Series and Nonlinear
Identification
Finite-element Mesh Adaptation via Time Series Prediction Using Neural
Networks
Multi-objective Genetic Algorithms on Financial Ratio Selection for
Earning Forecast
Hybrid Genetic Algorithm for VLSI Macro Cell Layout
Artificial Neural Networks Modeling as an Industrial Plant Fault
Diagnostic Tool
An Application of Genetic Programming to Electronic Design Automation
A Comparison of Soft Computing Methods for Reservoir Simulation
Multistage Decision Making for a Fuzzy Automation by Simulated Annealing