6. HIS 2006: Auckland, New Zealand

Plenary Keynotes Session

• Tom Gedeon:
  Is That Possible? (Or is it Probable?). 1
  
• Andreas König:
  Status and Perspective of Intelligent System Design Automation. 2
  
• Mario Köppen:
  Light-Weight Evolutionary Computation for Complex Image-Processing Applications. 3
  

Evolving Intelligence

• Michael Defoin-Platel, Manuel Clergue:
  Monitoring Genetic Variations in Variable Length Evolutionary Algorithms. 4
  
• Marcio Carvalho, Teresa Bernarda Ludermir:
  Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. 5
  
• Nils T. Siebel, Yohannes Kassahun:
  Learning Neural Networks for Visual Servoing Using Evolutionary Methods. 6
  
• Hiroyuki Fujii, Kazuyuki Ito, Akio Gofuku:
  Emergence of Information Processor Using Real World--Real-Time Learning of Pursuit Problem. 7
  

Agent Based Systems

• Victor Korotkikh, Galina Korotkikh:
  On Basic Principles of Intelligent Systems Design. 8
  
• Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr., André M. C. Campos:
  A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks. 9
  
• Shuping Wan:
  Stochastic Differential Portfolio Games with Regime Switching Model. 10
  
• Diogo F. de Oliveira, Anne M. P. Canuto, André M. C. Campos:
  GNeurAge: An Evolutionary Agent-Based System for Classification Tasks. 11
  

Bioinformatics

• Welbson S. Costa, Mateus S. de Assis, Marcílio Carlos Pereira de Souto:
  Extracting Symbolic Rules from Clustering of Gene Expression Data. 12
  
• Nikola Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph:
  Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. 13
  
• Yingjie Hu, Shaoning Pang, Ilkka Havukkala:
  A Novel Microarray Gene Selection Method Based on Consistency. 14
  
• Wanyu Wang, Xiaoyu Chang, Chunguang Zhou:
  Combining Greedy Method and Genetic Algorithm to Identify Transcription Factor Binding Sites. 15
  
• Jose Lima Alexandrino, Edson Costa de Barros Carvalho Filho:
  Investigation of a New Artificial Immune System Model Applied to Pattern Recognition. 16
  
• Aili Han:
  RLM: A New Method of Encoding Weights in DNA Strands. 17
  
• Aili Han:
  DNA Computing Model for the 0/1 Knapsack Problem. 18
  

Adaptive Speech, Image and Multimodal Processing

• Stefanie Peters, Andreas König:
  A Contribution to Automatic Design of Image Processing Systems--Breeding Optimized Non-Linear and Oriented Kernels for Texture Analysis. 19
  
• Jin Tang, Chunyan Zhang, Bin Luo:
  Shape Representation and Distance Measure Based on Relational Graph. 20
  
• Chunyan Zhang, Jin Tang, Bin Luo:
  Automatic T-Mixture Model Selection via Rival Penalized EM. 21
  
• Jiguo Zeng, Yan Zhang, Chen Liu, Shouyi Zhan:
  Fast Modeling of Curved Object from Two Images. 22
  
• Qing Pan, Guoping Yan, Yukuan Zhang, Nili Tian:
  Research on an Improved Gray Gradient Orientation Algorithm in Anisotropic High-Pass Filtering. 23
  
• Guojian Cheng, Jinquan Yang, Kuisheng Wang, Xiaoxiao Wang:
  Image Color Reduction Based on Self-Organizing Maps and Growing Self-Organizing Neural Networks. 24
  
• Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Nicomedes L. Cavalcanti Junior:
  A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model. 25
  
• Swagatam Das, Ajith Abraham, Subir Kumar Sarkar:
  A Hybrid Rough Set--Particle Swarm Algorithm for Image Pixel Classification. 26
  

Adaptive Modeling

• Andrew M. Connor:
  Memory Models for Improving Tabu Search with Real Continuous Variables. 27
  
• Seiji Ishihara, Harukazu Igarashi:
  A Task Decomposition Algorithm Using Mixtures of Normal Distributions for Classification Problems. 28
  
• Kuncup Iswandy, Andreas König:
  Towards Effective Unbiased Automated Feature Selection. 29
  
• Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Rafael Vargas Mesquita, Mariane Moreira de Souza:
  Parametrical Adjusting of a Hybrid System for the Vehicle Routing Problem with Time Windows. 30
  
• Bruno Feres de Souza, André Carlos Ponce Leon Ferreira de Carvalho, Rodrigo Calvo, Renato Porfirio Ishii:
  Multiclass SVM Model Selection Using Particle Swarm Optimization. 31
  
• Pitoyo Hartono, Shuji Hashimoto:
  Ensemble as a Piecewise Linear Classifier. 32
  
• Jin Tang, Chunyan Zhang, Bin Luo:
  Semi-Supervised Clustering of Corner-Oriented Attributed Graphs. 33
  
• B. Sumudu U. Mendis, Tamás D. Gedeon, László T. Kóczy:
  Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method. 34
  
• Anderson Francisco Talon, Heloisa de Arruda Camargo:
  Co-Evolution: An Approach to Automatic Generation of Fuzzy Systems. 35
  
• Leandro M. Almeida, Teresa Bernarda Ludermir:
  A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. 36
  

Knowledge Discovery

• Mária Markosová, Peter Nather:
  Language as a Small World Network. 37
  
• Kazuhiro Shimizu, Takao Miura:
  Mining Single Sequence at Once Using Disjunctive Tree Patterns. 38
  
• Alexander Ebel, Michael Bongards, Seán F. McLoone:
  State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study. 39
  
• Gabriel Pui Cheong Fung:
  Vise: A System for Visualizing Salient Events in a Text Stream. 40
  
• Adriano D. Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard:
  A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. 41
  
• Mikhail Petrovskiy:
  Paired Comparisons Method for Solving Multi-Label Learning Problem. 42
  
• William Zhu:
  Properties of the Fourth Type of Covering-Based Rough Sets. 43
  
• Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio:
  A Hybrid Machine Learning Approach for Information Extraction. 44
  
• Dante Torres, Daniel Leitao, Flávia de Almeida Barros:
  Motorola SpecNL: A Hybrid System to Generate NL Descriptions from Test Case Specifications. 45
  
• Rafael V. Borges, Luís C. Lamb, Artur S. d'Avila Garcez:
  Combining Architectures for Temporal Learning in Neural-Symbolic Systems. 46
  
• Ernesto Rodrigues, Heitor Silvério Lopes:
  Genetic Programming with Incremental Learning for Grammatical Inference. 47
  

Hybrid Metaheuristics

• Grégoire Danoy, Pascal Bouvry, Tomy Martins:
  hLCGA: A Hybrid Competitive Coevolutionary Genetic Algorithm. 48
  
• João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer:
  Two Variants of the Constructive Neural Network Tiling Algorithm. 49
  
• Qing Li, Xinhai Tong, Sijiang Xie, Guangjun Liu:
  An Improved Adaptive Algorithm for Controlling the Probabilities of Crossover and Mutation Based on a Fuzzy Control Strategy. 50
  
• Katti Faceli, André Carlos Ponce Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto:
  Multi-Objective Clustering Ensemble. 51
  
• Peter Tawdross, Andreas König:
  Local Parameters Particle Swarm Optimization. 52
  
• Qing Li, Xinhai Tong, Sijiang Xie, Yingchun Zhang:
  Optimum Path Planning for Mobile Robots Based on a Hybrid Genetic Algorithm. 53
  
• Christian Veenhuis:
  Advanced Meta-PSO. 54
  
• Humberto Cesar Brandao de Oliveira, Jose Lima Alexandrino, Mariane Moreira de Souza:
  Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows. 55
  
• Edimilson Batista dos Santos, Estevam R. Hruschka Jr.:
  VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. 56
  
• Ahmed Ali Abdalla Esmin, Germano Lambert-Torres, Guilherme Bastos Alvarenga:
  Hybrid Evolutionary Algorithm Based on PSO and GA Mutation. 57
  
• Cristiano Grijó Pitangui, Gerson Zaverucha:
  Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator. 58
  
• Yusuke Nojima, Hisao Ishibuchi:
  Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. 59
  

Evolvable Hardware

• Peter Tawdross, Senthil Kumar Lakshmanan, Andreas König:
  Intrinsic Evolution of Predictable Behavior Evolvable Hardware in Dynamic Environment. 60
  
• Daniela Durackova, Peter Grega:
  Image Processing by Using a Novel Neural Network Simulator. 61
  
• Senthil Kumar Lakshmanan, Peter Tawdross, Andreas König:
  Towards Organic Sensing System-First Measurement Result of Self-x Sensor Signal Amplifier. 62
  

Real World Applications

• Michael J. Watts, Susan P. Worner:
  Null-Model Validation of MLP Input Contribution Analysis in Ecology. 63
  
• Maysa Rezende, Ricardo Luís de Freitas, Gilberto Shigueo Nakamiti:
  HINT- A Hybrid Intelligent System for Telecommunications. 64
  
• Yongping Pan, Qinruo Wang:
  Research on a Stable Adaptive Fuzzy Control of Nonlinear Liquid Level System. 65
  
• Hao Du, ShiChun Chi, Feng Wang:
  Using an Improved Particle Swarm Optimization for Back Analysis of Geotechnical Parameters of Concrete Face Rock-fill Dams. 66
  
• Zhi-gang Liu, Jun-zheng Wang:
  RBF-Neural Network Adaptive PID Control for 3-Axis Stabilized Tracking System. 67
  
• S. J. Weddell, R. Y. Webb:
  Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy. 68
  
• Haiping Du, Nong Zhang:
  Evolutionary Takagi-Sugeno Fuzzy Modelling for MR Damper. 69
  
• Leonardo Aparecido Ciscon, Humberto Cesar Brandao de Oliveira, Michelle Cristina Alves Andrade, Guilherme Bastos Alvarenga, Ahmed Ali Abdalla Esmin:
  The School Timetabling Problem: A Focus on Elimination of Open Periods and Isolated Classes. 70
  
• Carl S. Leichter:
  An Adaptive System for Improved Identification and Removal of Noise from Single Trial EEG/MEG via Model Order Estimation in ICA. 71