2006 IEEE World Congress on Computational Intelligence

Session FriAM-1: Sc: Neural Network Models & Applications in Neuroscience & Neuro-Genetics
Friday, July 21, 8:00AM-10:00AM, Room: Gulf Islands BCD

Spatial SVM for Feature Selection and fMRI Activation Detection
Lichen Liang, Vladimir Cherkassky and David Rottenberg

Neural Networks and Classification and Regression Trees Are Able to Distinguish Females with Major Depression from Healthy Controls Using Neuroimaging Data
Alexandru Floares, Angela Jakary, Aaron Bornstein and Raymond Deicken

Exploring Standard Self-Organizing Map Internal Structure in the Learning
Kirmene Marzouki and Takeshi Yamakawa

Genetic Specification of Recurrent Neural Networks: Initial Thoughts
William Neil Howell

Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity
Jean-Philippe Thivierge and Gary F. Marcus

Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations
Lubica Benuskova, Simei Wysoski and Nik Kasabov

Session FriAM-2: Brain-Computer Interfaces
Friday, July 21, 8:00AM-10:00AM, Room: Junior Ballroom A

Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition
Zhonglin Lin, Changshui Zhang and Xiaorong Gao

Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces
Lan Tian, Erdogmus Deniz, Pavel Misha and Mathan Santosh

Brain Computer Interface Using EEG Sensors Based on an fMRI Experiment
Sang Han Choi and Min Ho Lee

A New, Human-centered Wheelchair System Controlled by the EMG Signal
Kyuwan Choi, Makoto Sato and Yasuharu Koike

Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface
Kenji Tanaka, Takio Kurita, Friedrich Meyer, Luc Berthouze and Tohru Kawabe

Arm Motion Reconstruction via Feature Clustering in Joint Angle Space
Jack DiGiovanna, Justin C. Sanchez, B. J. Fregly and Jose C. Pricipe

Session FriAM-3: Intelligent Control Applications I
Friday, July 21, 8:00AM-10:00AM, Room: Junior Ballroom B

A Design of PID Controllers with a Switching Structure by a Support Vector Machine
Kenji Takao, Toru Yamamoto and Takao Hinamoto

A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Ship Predictive Control
Jianchuan Yin, Fang Dong and Nini Wang

Anti-swing Control for Overhead Crane with Neural Compensation
Rigoberto Toxqui, Wen Yu and Xiaoou Li

SEVA3D: Using Artificial Neural Networks to Autonomous Vehicle Parking Control
Milton Heinen, Fernando Osorio, Farlei Heinen and Christian Kelber

On Stability of Nonlinear Observers Based on Neural Networks
Farzaneh Abdollahi, Heidar Ali Talebi and Rajni Patel

Session FriAM-4: Feature Selection, Extraction & Aggregation I
Friday, July 21, 8:00AM-10:00AM, Room: Junior Ballroom C

Bimodal Projection-based Features for Pattern Classification
Dipti Deodhare, Vidyasagar M and Narasimha Murty M

A Computational Intelligence Strategy for Software Complexity Prediction
Nick Pizzi

Sensor Selection for Driving State Recognition
Kari Torkkola, Mike Gardner, Chris Schreiner, Keshu Zhang and Bob Leivian

Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods
Srinivas Mukkamala

Data Partition and Variable Selection for Time Series Prediction using Wrappers
Wilfredo Puma Villanueva, Euripedes Pinheiro dos Santos and Fernando Von Zuben

C2FS: An Algorithm for Feature Selection in Cascade Neural Nets
Lars Backstrom and Rich Caruana

Session FriAM-5: Supervised Learning in Feedforward Neural Networks
Friday, July 21, 8:00AM-10:00AM, Room: Junior Ballroom D

On Derivation of Stagewise Second-order Backpropagation by Invariant Imbedding for Multi-stage Neural-network Learning
Eiji Mizutani and Stuart Dreyfus

Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity
Haikun Wei and Shun-ichi Amari

Improving the Convergence of Backpropagation by Opposite Transfer Functions
Mario Ventresca and Hamid Tizhoosh

Effective Training Methods for Function Localization Neural Networks
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono and Kotaro Hirasawa

A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions
Leonardo Franco, Jose Luis Subirats, Martin Anthony and Jose Jerez

A Mixed Parallel Perceptron Classifier and Several Application Problems
Daqi Gao, Hao Li and Wei Chen

Session FriAM-6: Approximate Reasoning Theory II
Friday, July 21, 8:00AM-10:00AM, Room: Parksville, Chair: Antonio Di Nola

Interval Valued Versions of T-Conorms, Fuzzy Negations and Fuzzy Implications
Benjamin Bedregal and Adriana Takahashi

On an Approximate-inclusion-based Difference Operator - Application to the Division of Fuzzy Relations
Patrick Bosc and Olivier Pivert

Lukasiewicz Transform Based Algorithm for Image Processing
Antonio Di Nola and Ciro Russo

A Tabulation Proof Procedure for First-Order Residuated Logic Programs: Soundness, Completeness and Optimizations
Carlos V. Damasio, Jesus Medina and Manuel Ojeda-Aciego

Comparing the Expressive Power of Some Fuzzy Logics Based on Residuated t-norms
Stefano Aguzzoli and Brunella Gerla

Session FriAM-7: Fuzzy Control Theory III
Friday, July 21, 8:00AM-10:00AM, Room: Pavilion Ballroom A, Chair: H.K. Lam

LMI-based Stability and Performance Conditions for Continuous-time Nonlinear Systems in Takagi-Sugeno's Form
H.K. Lam

LMI-based Stability and Performance Design of Fuzzy Control Systems: Fuzzy Models and Controllers With Different Premises
H.K. Lam

Fuzzy Controller Design Utilizing Experts' Knowledge
Hugang Han and Akira Ikuta

Decoupled Fuzzy PI Controller Tuning Scheme for Multivariable Processes
Eranda Harinath and George Mann

Sliding Mode Fuzzy Control with Optimal Rule Table
Hamid Allamehzadeh

Session FriAM-8: Fuzzy Database, Information Retrieval & Natural Language Processing
Friday, July 21, 8:00AM-10:00AM, Room: Pavilion Ballroom B, Chair: Stefan C. Kremer

SQLf vs. Skyline - Expressivity and Performance
Marlene Goncalves and Leonid Tineo

Hybrid Query Session and Content-Based Recommendations for Enhanced Search
Zhiyong Zhang and Olfa Nasraoui

Syntax-driven Analysis of Context-free Languages With Respect to Fuzzy Relational Semantics
Richard Bergmair and Ulrich Bodenhofer

Fuzzy Grammar Induction from Large Corpora
Patrick Carter and Stefan C. Kremer

Development of a New Corpus System for English Writing Support and its Fundamental Study
Masayuki Murakami, Masaru Kimura and Nakaji Honda

Session FriAM-9: Evolvable Hardware
Friday, July 21, 8:00AM-10:00AM, Room: Pavilion Ballroom C, Chair: Garry Greenwood

Extrinsic and Intrinsic Evolution of Multifunctional Combinational Modules
Lukas Sekanina, Tomas Martinek and Zbysek Gajda

A Cooperative Approach to Compact Genetic Algorithm for Evolvable Hardware
Yutana Jewajinda and Prabhas Chongstitvatana

An Incremental Evolutionary Strategy for the Design of FIR Filters Targeting Real-Time Applications
Evangelos Stefatos and Tughrul Arslan

Rapid Evolution of Time-Efficient Packet Classifiers
Ralf Salomon, Harald Widiger and Andreas Tockhorn

SOPC-based Parallel Genetic Algorithm
Mehdi Salmani Jelodar, Mehdi Kamal, S. Mehdi Fakhraie and Majid Nili Ahmadabadi

CTRNN-EH in Silicon: Challenges in Realizing Configurable CTRNNs in VLSI
Saranyan Vigraham and John Gallagher

Session FriAM-10: Combinatorial & Numerical Optimization I
Friday, July 21, 8:00AM-10:00AM, Room: Pavilion Ballroom D

Improving Evolution Strategies through Active Covariance Matrix Adaptation
Grahame Jastrebski and Dirk V. Arnold

Niching Method for Combinatorial Optimization Problems and Application to JSP
Nagata Yuichi

Handling Time-Varying TSP Instances
Fabricio O. de Franca, Lalinka Gomes, Leandro de Castro and Fernando Von Zuben

A Simple Cellular Genetic Algorithm for Continuous Optimization
Bernabe Dorronsoro and Enrique Alba

Symmetric Comparator Pairs in the Initialization of Genetic Algorithm Populations for Sorting Networks
Lee Graham and Franz Oppacher

An Evolutionary Algorithm For A Single-Item Resource-Constrained Aggregate Production Planning Problem
Reza Tavakkoli-Moghaddam and Nima Safaei

Session FriAM-11: Signal Processing
Friday, July 21, 8:00AM-10:00AM, Room: Orca

An Evolution Strategy for Improving the Design of Phased Array Transducers
Stephen Chen, Sarah Razzaqi and Vincent Lupien

Genetic Programming Based Multichannel Identification of Nonlinear Systems by Volterra Filters
Leehter Yao and Chin-Chin Lin

Ensembles of Selected and Evolved Predictors using Genetic Algorithms for Time Series Prediction
Marcos Leone Filho, Takaaki Ohishi and Rosangela Ballini

Improved Evolutionary Search for Image Reconstruction Transforms
Michael Peterson, Gary Lamont and Frank Moore

Accurate Resolution of Signals Using Integer-Coded Genetic Algorithms
Hazem Abbas

Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels
Cynthia Junqueira, Fabricio O. de Franca, Romis R. F. Attux, Cristiano M. Panazio and Leandro N. de Castro

Session FriAM-12: Zd: Evolutionary Computation for Expensive Optimization Problems
Friday, July 21, 8:00AM-10:00AM, Room: Finback, Chair: Joshua Knowles

Opportunistic Fitness Evaluation in a Genetic Algorithm for Civil Engineering Design Optimization
David Joslin, Jeff Dragovich, Hoa Vo and Justin Terada

Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment
Ofer Shir, Christian Siedschlag, Thomas Baeck and Marc Vrakking

Assessing Robustness of Optimisation Performance for Problems With Expensive Evaluation Functions
Evan Hughes

Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation
Yew-Soon Ong, ZongZhao Zhou and Dudy Lim

Local Learning and Search in Memetic Algorithms
Frederico Guimaraes, Elizabeth Wanner, Felipe Campelo, Ricardo Takahashi, Hajime Igarashi, David Lowther and Jaime Ramirez

Predicting Stochastic Search Algorithm Performance using Landscape State Machines
William Rowe, David Corne and Joshua Knowles

Session FriAM-13: Evolutionary Neural Networks
Friday, July 21, 8:00AM-10:00AM, Room: Port Hardy

Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
John Bullinaria

A Neuromoduratory Neural Networks Model for Environmental Cognition and Motor Adaptation
Toshiyuki Kondo and Koji Ito

Combining Multi-Frame Images For Enhancement Using Self-Delaying Dynamic Networks
Lewis Hibell, Honghai Liu and David Brown

Cluster Distance Factor Searching by Particle Swarm Optimization for Self-Growing Radial Basis Function Neural Network
Chun-Ling Lin, Sheng-Ta Hsieh, Tsung-Ying Sun and Chan-Cheng Liu

Bayesian Learning of Neural Networks by Means of Artificial Immune Systems
Pablo A. D. Castro and Fernando J. Von Zuben

Generalization Improvement in Multi-objective Learning
Lars Graening, Yaochu Jin and Bernhard Sendhoff

Session FriAM-14: S7: Computational Intelligence in Earth & Environmental Sciences III
Friday, July 21, 8:00AM-10:00AM, Room: Port Alberni

Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting
Dimitri Solomatine, Mahesh Maskey and Shrestha Durga Lal

Improving Empirical Models with Machine Learning
Biswa Bhattacharya and Dimitri Solomatine

Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting
Julio J. Valdes and Alan J. Barton

Forecasting Cyanobacteria with Bayesian and Deterministic Artificial Neural Networks
Greer Kingston, Holger Maier and Martin Lambert

Knowledge Extraction in Geochemical Data by using Self-organizing Maps
Juan Pablo Lacassie and Javier Ruiz-Del-Solar

An Embedded Hardware-Software System to Detect and Foresee Road Ice Formation
Eros Pasero, Tassilo Meindl, Walter Moniaci and Marco Riccardi

Session FriAM-15: S8: Hybrid Fuzzy Intelligent Systems I
Friday, July 21, 8:00AM-10:00AM, Room: Port McNeill, Chair: Oscar Castillo

A Hammerstein Neuro-Fuzzy Network with an Online Hybrid Construction Algorithm for Dynamic Applications
Jeen-Shing Wang and Yen-Ping Chen

Fitting Fuzzy Membership Functions using Hybrid Particle Swarm Optimization
Ahmed Esmin and Germano Lambert-Torres

HMM based Fuzzy Model for Time Series Prediction
Md. Rafiul Hassan, Baikunth Nath and Michael Kirley

Spread-Repair-Shrink: A Hybrid Algorithm for Solving Fuzzy Constraint Satisfaction Problems
Yasuhiro Sudo and Masahito Kurihara

Fuzzy Logic based Active Map Learning for Autonomous Robot
James Liu and Meng Wang

Session FriMM-1: S9: Principles & Applications of Adaptive Information Modeling
Friday, July 21, 1:00PM-3:00PM, Room: Gulf Islands BCD

Critical Values of a Kernel Density-based Mutual Information Estimator
Robert May, Graeme Dandy, Holger Maier and Gayani Fernando

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm
Robert Jenssen, Deniz Erdogmus, Jose Principe and Torbjorn Eltoft

Neural Network Data Clustering on the Basis of Scale Invariant Entropy
Alexander Tatuzov and Nikolay Kurenkov

Structure Analysis of a Probabilistic Network in an Information Geometric Framework
Thomas Zheng and Clark Guest

Correntropy: A Localized Similarity Measure
Weifeng Liu, Puskal Pokharel and Jose Principe

Session FriMM-2: So: Sapient Systems
Friday, July 21, 1:00PM-3:00PM, Room: Junior Ballroom A

Categorization and Symbol Grounding in a Complex Environment
Jose Fontanari and Leonid Perlovsky

Higher Cognitive Abilities (Toward a Physical Theory of the Mind)
Leonid Perlovsky

Studies on Sparse Array Cortical Modeling and Memory Cognition Duality
Kaushik Majumdar and Robert Kozma

Learning Hierarchical Action Selection for an Autonomous Robot
Nils Goerke and Timo Henne

Complex Systems Approaches to Emergent Goal Formation in Cognitive Agents
Derek Harter

Session FriMM-3: Intelligent Control Applications II
Friday, July 21, 1:00PM-3:00PM, Room: Junior Ballroom B

Multivariable Adaptive Control of Nonlinear Unknown Dynamic Systems Using Recurrent Neural-Network
Chih-Lyang Hwang

Neural Network Control of Spark Ignition Engines with High EGR Levels
Atmika Singh, Jonathan Vance, Brian Kaul, Sarangapani Jagannathan and James Drallmeier

Temperature Control of a Rubber Shoot Shaping Machine by Recurrent Neural Fuzzy Controller
Chia-Feng Juang, Shui-Tien Huang and Yuan-Chang Liou

Designing a Muscle like System based on PID Controller and Tuned by Neural Network
Hayssam Serhan, Chaiban Nasr and Patrick Henaff

Extend Single-agent Reinforcement Learning Approach to a Multi-robot Cooperative Task in an Unknown Dynamic Environment
Ying Wang and Clarence W. de Silva

Session FriMM-4: Feature Selection, Extraction & Aggregation II
Friday, July 21, 1:00PM-3:00PM, Room: Junior Ballroom C

P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
Johannes Mohr, Imke Puls, Jana Wrase, Sepp Hochreiter, Andreas Heinz and Klaus Obermayer

Wavelet-Based Feature Extraction for Microarray Data Classification
Shutao Li, Chen Liao and James T. Kwok

Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection
Lan Tian, Erdogmus Deniz, Ozertem Umut and Huang Yonghong

A Computational Intelligence-based Criterion to Detect Non-stationarity Trends
Cesare Alippi and Manuel Roveri

Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree
Shiro Usui, Paulito Palmes, Tatsuki Taniguchi, Kazunori Nagata and Naonori Ueda

Session FriMM-5: Feedforward Neural Networks
Friday, July 21, 1:00PM-3:00PM, Room: Junior Ballroom D

Construction of Neural Network Based Lyapunov Functions
Vassilios Petridis and Stavros Petridis

Enhancing Fault Tolerance of Radial Basis Functions
Ralf Eickhoff and Ulrich Rueckert

GRNN with Double Clustering
Donald Specht

Inheritance of Information in ANNs: and its alignment to Equivalence Relations
Richard Neville and Liping Zhao

Online Training of a Generalized Neuron with Particle Swarm Optimization
Raveesh Kiran, Sandhya Jetti and Ganesh Kumar Venayagamoorthy

Session FriMM-6: Fuzzy & Probabilistic Modeling
Friday, July 21, 1:00PM-3:00PM, Room: Parksville, Chair: Zeungnam Bien

Balancing Interpretability and Accuracy by Multi-Level Fuzzy Information Granulation
Corrado Mencar, Giovanna Castellano and Anna Maria Fanelli

A Study on Noise Tolerance of the IDS Method in Regression
Masayuki Murakami and Nakaji Honda

Correspondences Between Fuzzy Equivalence Relations and Kernels: Theoretical Results and Potential Applications
Bernhard Moser and Ulrich Bodenhofer

Bayesian Interpretation of Adaptive Fuzzy Neural Network Model
Sang Wan Lee, Dae-Jin Kim, Yong Soo Kim and Zeungnam Bien

Reduction of Generalization Error in Fuzzy System Modeling
Mehmet Bodur, Adnan Acan and Ahmet Unveren

Session FriMM-7: Fuzzy Control Theory IV
Friday, July 21, 1:00PM-3:00PM, Room: Pavilion Ballroom A, Chair: Hugang Han

Decentralized Robust Fuzzy-Model-Based Control of Uncertain Large-Scale Systems with Input Delay
Chiang-Cheng Chiang

On the Nonlinear Fuzzy Regulation for Under-actuated Systems
Jesus A. Meda-Campana, Bernardino Castillo-Toledo and Victor Zuniga

Robust Adaptive Fuzzy Sliding Mode Control for A Class of Uncertain Nonlinear Systems with Unknown Dead-Zone
Chiang-Cheng Chiang and Chih-Cheng Yang

Nonlinear Model-predictive Control of Wiener-type Systems in Continuous-time Domain Using a Fuzzy--system Function Approximation
Simon Oblak and Igor Skrjanc

Stability Analysis of Equilibrium Points in Static Fuzzy Control Systems with Reference Inputs and Adjustable Parameters
Bing-Fei Wu, Li-Shan Ma, Jau-Woei Perng, Hung-I Chin and Tsu-Tien Lee

Session FriMM-8: Fuzzy Sets Applications to Communications & Signal Processing
Friday, July 21, 1:00PM-3:00PM, Room: Pavilion Ballroom B, Chair: Chao-Lieh Chen

MobiPADS++: A Mobile QoS Middleware based on Hierarchical Fuzzy Control
Siu-Nam Chuang and Alvin T. S. Chan

Multi-objective Particle Swarm Optimization for Fuzzy Logic Based Active Queue Management
Clement Nyirenda and Dawoud Dawoud

Distributed Fuzzy Controller for the IEEE 802.11e QoS and Its RTL Fast Prototyping
Chao-Lieh Chen and Yao-Deh Huang

Fuzzy Service Quality Review in Service Oriented Architectures
Stefan Schmidt, Robert Steele, Tharam Dillon and Elizabeth Chang

State Estimation Method for Sound Environment System with Unknown Structure by Introducing a Fuzzy Adaptive Filter
Hisako Masuike, Akira Ikuta and Yegui Xiao

Session FriMM-9: Z5: Hardware Implementation for Genetic Neural & Fuzzy Systems I
Friday, July 21, 1:00PM-3:00PM, Room: Pavilion Ballroom C, Chair: Nadia Nedjah

Genetic Learning of Digital Three-Layer Perceptrons for Implementation of Binary Cellular Automata
Takashi Yamamichi, Toshimichi Saito and Hiroyuki Torikai

A Hybrid Bio-inspired System: Hardware Spiking Neural Network Incorporating Hebbian Learning with Microprocessor Based Evolutionary Control Algorithm
David Allen, David Halliday and Andy Tyrrell

An Immune Fault Detection System for Analog Circuits with Automatic Detector Generation
Jorge Amaral, Jose Amaral and Ricardo Tanscheit

Parallel Hybrid Genetic Algorithms on Consumer-Level Graphics Hardware
Man-Leung Wong and Tien-Tsin Wong

Investigation of a New Genetic Algorithm Designed for System-on-chip Realization
Zhenhuan Zhu, David Mulvaney and Vassilios Chouliaras

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware
Zhongwen Luo and Hongzhi Liu

Session FriMM-10: Combinatorial & Numerical Optimization II
Friday, July 21, 1:00PM-3:00PM, Room: Pavilion Ballroom D

A Memetic Algorithm for a Multi-Criteria Sequencing Problem of Mixed-Model Assembly Lines in a JIT Production System
Reza Tavakkoli-Moghaddam and Ali Reza Rahimi-Vahed

A Multiparent Version of the Parent-Centric Normal Crossover for Multimodal Optimization
Pedro J. Ballester and W. Graham Richards

A Fuzzy Clustering Based Selection Method to Maintain Diversity in Genetic Algorithms
Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino and Katsuari Kamei

A Multiresolutional Estimated Gradient Architecture for Global Optimization
Megan Hazen and Maya Gupta

RasID-GA with Simplex Crossover(SPX) for Optimization Problems
DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa and Jinglu Hu

Immune Algorithm Based Routing Optimization in Fourth-Party Logistics
Min Huang, Wei Tong, Qing Wang, Xin Xu and Xingwei Wang

Session FriMM-11: Planning & Control
Friday, July 21, 1:00PM-3:00PM, Room: Orca

A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System
Jin Zhou, Toru Eguchi, Shingo Mabu, Kotaro Hirasawa and Jinglu Hu

Project Scheduling in Decision-Theoretic Competitive Bidding
Haitao Li and Keith Womer

Cooperative Transportation by Multiple Robots with Machine Learning
Ying Wang and Clarence W. de Silva

Elitist Compact Genetic Algorithms for Induction Motor Self-tuning Control
Francesco Cupertino, Ernesto Mininno and David Naso

Discovering Adaptive Heuristics for Ad-Hoc Sensor Networks by Mining Evolved Optimal Configurations
Prasanna Ranganathan, Aravind Ranganathan, Kenneth Berman and Ali Minai

Session FriMM-12: Zg: EC at Work- Generating Value with Evolutionary
Friday, July 21, 1:00PM-3:00PM, Room: Finback, Chair: Thorsten Schnier

A Hybrid of Sequential-Self Calibration and Genetic Algorithm Inverse Technique for Geostatistical Reservoir Modeling
Tina Yu, Xian-Huan Wen and Seong Lee

An Evolutionary Technique with Fast Convergence for Power System Topological Observability Analysis
Santiago Vazquez-Rodriguez, Andres Faina Rodriguez-Vila and Borja Neira Duenas

Evolutionary Multi-objective Optimization of Business Processes
Ashutosh Tiwari, Kostas Vergidis and Basim Majeed

Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms
Hisashi Handa, Dan Lin, Lee Chapman and Xin Yao

Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications
Arthur Kordon, Guido Smits, Elsa Jordaan, Alex Kalos and Flor Castillo

Ordinal Pareto Genetic Programming
Guido Smits and Ekaterina Vladislavleva

Session FriMM-13: S6: Evolving Neural-, Fuzzy-, & Hybrid Intelligent Systems
Friday, July 21, 1:00PM-3:00PM, Room: Port Hardy, Chair: Plamen Angelov

Enhancing Autonomy and Computational Efficiency of the Self-Organizing Fuzzy Neural Network for a Brain Computer Interface
Damien Coyle, Girijesh Prasad and Thomas M. McGinnity

An Incremental Principal Component Analysis for Chunk Data
Seiichi Ozawa, Shaoning Pang and Nikola Kasabov

A Fuzzy Set/Rule Distance for Evolving Fuzzy Anomaly Detectors
Jonatan Gomez and Elizabeth Leon

Fuzzy Modeling Using Chaotic Particle Swarm Approaches Applied to a Yo-yo Motion System
Leandro dos Santos Coelho and Bruno Meirelles Herrera

Session FriMM-14: S7: Computational Intelligence in Earth & Environmental Sciences IV
Friday, July 21, 1:00PM-3:00PM, Room: Port Alberni

A Genetic Algorithm Method for Sensor Data Assimilation and Source Characterization
Sue Ellen Haupt, George Young and Christopher Allen

Learning Hydrologic Flow Separation Algorithm and Local ANN Committee Modeling
Dimitri Solomatine and Gerald Corzo

Extraction of Components with Structured Variance
Alexander Ilin, Harri Valpola and Erkki Oja

An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction
Gordon Wichern, Mahmood Azimi-Sadjadi and Michael Mungiole

Weather Radar Estimates of Rainfall, Adjusted to Rain Gauge Measurements Using Neural Networks
Reinhard Teschl, Walter Randeu and Franz Teschl

Session FriMM-15: S8: Hybrid Fuzzy Intelligent Systems II
Friday, July 21, 1:00PM-3:00PM, Room: Port McNeill, Chair: Oscar Castillo

Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems
Gerardo Maximiliano Mendez and Maria de los Angeles Hernandez

Fuzzy Clustering Algorithms in Subjective Classification Tasks
Mario Chacon and Graciela Ramirez

A Generic Approach to Fuzzy Logic Controller Synthesis on FPGA
Jose Luis Gonzalez-Vazquez, Oscar Castillo and Luis Tupak Aguilar-Bustos

A Genetic-Fuzzy System Approach To Control a Model of the HIV Infection Dynamics
Miguel Melgarejo, Carlos Pena-Reyes and Eduardo Sanchez

Design of Stable Type-2 Fuzzy Logic Controllers based on a Fuzzy Lyapunov Approach
Oscar Castillo, Patricia Melin and Nohe Cazarez

Session FriPM-1: Se: Ensemble & Diversity
Friday, July 21, 3:15PM-5:15PM, Room: Gulf Islands BCD

The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles
Guilherme P. Coelho and Fernando J. Von Zuben

Investigations on the Characteristics of Random Decision Tree Ensemble
Graeme Richards and Wenjia Wang

Evolutionary Ensemble Creation and Thinning
Jared Sylvester and Nitesh Chawla

Ensemble Learning for Hierarchies of Locally Arranged Models
Florian Hoppe and Gerald Sommer

Improving a Neural Network Classifier Ensemble with Multi-Task Learning
Qiang Ye and Paul Munro

Analysis on the Performance of Ensemble of Linear Perceptrons
Pitoyo Hartono and Shuji Hashimoto

Session FriPM-2: Sm: Cellular Sensory Wave Computers
Friday, July 21, 3:15PM-5:15PM, Room: Junior Ballroom A

Overview of Cellular Sensory Wave Computing
Bertram Shi