A black-box optimization problem may be defined by the set of all potential solutions and a procedure for evaluating competing solutions.
The separation of problem specifics from an optimizer enables a straightforward formulation of many different real-world problems within
this framework. That is why the design of robust and scalable black-box optimization techniques has become one of the most important challenges in computational optimization. This talk focuses on an advanced black-box optimization algorithm called the hierarchical Bayesian optimization algorithm (hBOA), which derives inspiration from evolutionary computation and machine learning. The talk motivates the algorithm, describes its basic procedure, and presents interesting results of its application to challenging real-world problems. The talk also lists important directions for future research in this area.

Session: Evolutionary Computing I

The magic square as a benchmark: comparing manual solution with MIP solution and AI algorithm and improved evolutionary algorithm

On the solution of ill-conditioned systems of Linear and Non-Linear Equations via Genetic Algorithms (GAs) and Nelder-Mead Simplex search

Numerical Solution of Non-Linear Ordinary Differential Equations via Collocation Method (Finite Elements) and Genetic Algorithms

Investigation of Matchmaking and a Genetic Algorithm for Multilateral and Integrative E-Negotiations
By Simone A. Ludwig, Larry Raisanen, S.M.S. Reyhani [496-143]

Session: Evolutionary Computing II

Compressed Linear Genetic Programming: preliminar empirical parameter study on the Even-n-parity problem

Experimental analysis in simulated annealing to scheduling problems when upper bounds are used
By Marco Antonio Cruz-Chávez, Juan Frausto-Solís, David Juárez-Romero [496-284]

Session: Evolutionary Computing and Applications I

Enhancing Concurrent Node Movements in Mobile Ad-hoc Networks while Preserving Connection Stability

Application of evolutionary computing for hybrid model based optimization of biochemical processes
By Vytautas Galvanauskas, Rimvydas Simutis, Donatas Levisauskas [496-198]

Distributed Population Based Incremental Learning
By Rui Rodrigues [496-218]

Particle swarm and simulated annealing for multi-global optimization
By A. Ismael F. Vaz, Ana I.P.N. Pereira, Edite M.G.P. Fernandes [496-211]

Intelligent Ensemble System Aids Osteoporosis Early Detection
By Wenjia Wang and Sarah Rae [496-221]

A New Approach to Fault -Tolerant Mobile Agent Execution in Distributed Systems
By Hojatollah Hamidi and K. Mohammadi [496-237]

Modeling Fault-Tolerant and Secure Mobile Agent Execution
By Hojatollah Hamidi and K . Mohammadi [496-239]

Session: Evolutionary Computing and Applications II

An Image Segmentation Algorithm Based on Fuzzy Clustering and Genetic Algorithms with a New Distance
By Hachouf Zeggari, Ahmed Seghir, A. Zeggari [496-255]

Genetic Algorithm for Optimal Capacitor Allocation in Radial Distribution Systems
By K. S. Swarup [496-294]

Constrained Evolutionary Programming Approaches to Power System Economic Dispatch
By K. S. Swarup [496-293]

Ant Colony Optimization for Economic Generator Scheduling and Load Dispatch
By K. S. Swarup [496-292]

Modeling Fault-Tolerant and Reliable Mobile Agent Execution in Distributed Systems
By Hojat allah Hamidi and K. Mohammadi [496-280]

A New Approach for Evaluation Fault-Tolerant Mobile Agent Execution in Distributed Systems
By Hojatollah Hamidi and K . Mohammadi [496-279]

Special Session: Challenges in Real World Optimization Using Nature Inspired Computing and Meta-Heuristics

Ant colony optimization algorithm (ACO); a new heuristic approach for engineering optimization
By Mohammad Reza Jalali, Abbas Afshar, Miguel A. Marino [496-192]

Proposal of Multi-Agent based Model for Dynamic Scheduling in Manufacturing
By Ana Madureira, Joaquim Santos [496-AM5]

Analyses of the Resources System Selection Algorithms for Agile/Virtual Enterprises Integration Through Genetic Algorithms
By Paulo Ávila, Goran D. Putnik, Ana M. Madureira [496-AM1]

Optimal Short-Term Contract Allocation Using Particle Swarm Optimization
By Filipe Azevedo, Zita A. Vale D S. [496-AM2]

Constraint Programming and Genetic Algorithms to Solve Layout Design Problem
By Jose Tavares [496-AM3]

A Neural Network Control Strategy for Improved Energy Capture on a Variable-Speed Wind Turbine
By Antonio F. Silva, Fernando A. Castro, Jose N. Fidalgo [496-AM4]

RAMP: Fundamentals, Applications and New Developments
By Cesar Rego [496-269]

Optimization algorithms inspired by electromagnetism and stigmergy in electro-technical engineering
By Peter Korošec, Gregor Papa, Jurij Šilc [496-301]

Challenges in Real World Sightseeing Tour Optimization Using Meta-Heuristics
By Jean-Marc Godart [496-205]

Session: Evolutionary Computing and Applications III

Evolutionary Programming Optimization Technique for Solving Reactive Power Planning in Power System
By Ismail Musirin, Titik Khawa Abdul Rahman [496-173]

Tandem Application of Exploration Factors and Variant Spin Mechanism on Steady State Genetic Algorithms for Loss Minimisation in Power System
By M.F. Mohd Kamal, T. K. A. Rahman, I. Musirin [496-204]

Using ACO and Rough Set Theory to Feature Selection
By Rafael Bello, Ann Nowe, Peter Vrancx, Yudel Gómez, Yailé Caballero [496-199]

Logic Circuits Synthesis Through Genetic Algorithms
By Cecília Reis, J. A. Tenreiro Machado and J. Boaventura Cunha [496-209]

Generalized multiobjective multitree model solution using moea
By Benjamin Baran, Ramon Fabregat, Yezid Donoso, Fernando Solano, Jose Marzo [496-250]

Session: Evolutionary Computing III

A Data Mining technique for Data Clustering based on Genetic Algorithm
By J. Aguilar [496-170]

Clonal Selection-Based Artificial Immune System Optimisation Technique For Solving Economic Dispatch in Power System

A Clustering Technique for Defect Inspection
By Z.W. Zhong and N.G. Shankar [496-153]

Novel intelligent edge detector for sonographical images
By Ali Rafiee, Mohammad Hasan Moradi, Mohammad Reza Farzaneh [496-123]

Optimizing the Searching Techniques
By Jatinder Ohri, Rajesh Ohri, Karnpal Singh [496-116]

Analog Fault Detection Using Two Stage RBF Neural Network
By Reza Asgary and Mahdi Yusefkhani [496-147]

Design Of High Performance Synchronous Digital Circuits For Evolvable Hardware (EHW) Application Using Genetic Algorithm
By J. Bharathi, P. Sakthivel [496-226]

Special Session: Application of ANN, Fuzzy, Evolutionary and Metaheuristic Algorithms to Water Resources Planning and Management

Combining Stochastic Dynamic Programming (SDP) and Artificial Neural Networks (ANN) in Optimal Reservoir Operation
By Omid Bozorg Haddad, Saeed Alimohammadi [496-258]

ANN in River Flow Forecasting
By Omid Bozorg Haddad, Farid Sharifi, Saeed Alimohammadi [496-277]

Optimum Design of Stepped Spillways Using Genetic Algorithm
By Omid Bozorg Haddad, Farid Sharifi, Mahsoo Naderi [496-278]

Reservoir Optimal Operation Using DP-ANN
By Farid Sharifi, Omid Bozorg Haddad, Mahsoo Naderi [496-281]

Sensitivity to Crossover and Mutation Probabilities in Levee Setback Optimization
By M. Shafiei, O. Bozorg Haddad [496-311]

Optimum design of water conveyance system by ant colony optimization algorithms
By Habibeh Abbasi, Abbas Afshar, Mohammad Reza Jalali [496-322]

River Flow Forecasting with ANN
By Omid Bozorg Haddad, Farid Sharifi, Saeed Alimohammadi [496-303]

Continuous Decision Making in Optimal Reservoir Operation Using DP-ANN
By Farid Sharifi, Omid Bozorg Haddad, Mahsoo Naderi, Saeed Alimohammadi [496-304]

GA in Optimal Design of Setback Layout
By M. Shafiei, O. Bozorg Haddad [496-305]

Best GA Operators Probabilities in Optimizing Levee Setback
By M. Shafiei, O. Bozorg Haddad [496-306]

Simulation-Optimization Model For Fuzzy Waste Load Allocation
By M. Saadat Pour, A. Afshar, O. Bozorg Haddad [496-308]

GA in Optimizing Ajichai Flood Levee's Encroachment
By M. Shafiei, O. Bozorg Haddad [496-309]

Optimization of Levee's Setback; A New GA Approach
By Farshid Malekhosseini [496-310]

Performance Prediction of a Parallel Monte Carlo Application: A Neural Network Approach
By Sirma Yavuz [496-265]

Proceedings of the
6th WSEAS International Conference on
FUZZY SYSTEMS

-FS 2005-

Lisbon, Portugal, June 16-18, 2005

THURSDAY, JUNE 16, 2005

Keynote Lecture:

From Search Engines to Question-Answering Systems:
The Problems of World Knowledge, Relevance, Deduction and Precisiation

Prof. Lotfi Zadeh
University of Berkeley, USA
Director, Berkeley Initiative in Soft Computing (BISC)
zadeh@cs.berkeley.edu
http://www.cs.berkeley.edu/~zadeh

Session: Fuzzy Systems Theory I

Reference Variables Generation Using a Fuzzy Trajectory Controller for PM Tubular Linear Synchronous Motor Drive

Session: Fuzzy Systems Theory II

Integration of fuzzy and geostatistical models for estimating missing multivariate observations

Algorithm of the Inverse Confidence of Data Mining Based on the Techniques of Association Rules and Fuzzy Logic

Performance evaluation of fuzzy controllers applied to speed control of DC shunt motor
By Narmadha T. V., Shoba E.S. R. [496-228]

Session: Fuzzy Systems Applications I

A switching controller for non linear systems via fuzzy models
By Mohamed Boumehraz, Khier Benmahammed [496-254]

Intelligent Traction Control for Wheeled Space Vehicles
By Salvatore Pennacchio, Davide Rizzo [496-324]

A new Algorithm for Reverse Car Parking Problem
By Salvatore Pennacchio, Emanuele Bellafiore, Francesco Fontana, Orazio Nevoloso [496-325]

Design of fuzzy based attitude controller for a spin stabilized micro satellite
By N. Prasanna Kumar, S.Lakshmi, J. Shanmugam [496-163]

Session: Fuzzy Systems Applications II

A new model of fuzzy system for mobile robots in unknown environment
By Salvatore Pennacchio, Danilo Candela, Fabio Centineo, Massimo La Rosa [496-326]

A new Soft Computing based Controller for a Biped Robot
By Salvatore Pennacchio, Antonio La Malfa, Liliana Lo Presti, Marianna Rotolo [496-327]

New intelligent controller for mobile robot navigation in unknown environments
By Salvatore Pennacchio, Francesca Abissi, Sabina Petralia, Giannantonio Stendardo [496-328]

Fuzzy Adaptive Neural-Network Model-Following Speed Control for PMSM Drives
By Fayez F.M. El-Sousy, Maged N. F. Nashed [496-266]

Fuzzy supervisory control of a steam power plant during load rejection
By Ahcene Habbi and Mimoun Zelmat [496-134]

Fuzzy Attitude Controller For a Spin Stabilised Microsatellite Using Only Magnetic Torquers
By Harshitha .I. Singh, J. Shanmugam, P. Natarajan [496-156]

The Application of Fuzzy Clustering to Satellite Images Data
By Hizir Sofyan, Azlin Md. Said, Muzailin Affan, Khaled Bawahidi [496-179]

Two approaches for direct torque control using a three-level voltage source inverter
By Rabah Zaimeddine and El Madjid Berkouk [496-185]

Transient Stability Improvement in Power Systems Using an Adaptive Neuro-Fuzzy Based Intelligent Controller
By Mehran Rashidi [496-189]

Session: Fuzzy Systems Applications IV

A Fuzzy Local Path Planning and Obstacle Avoidance for Mobile Robots
By H. Aminaiee [496-103]

CMOS Fuzzification Circuits for Linear Membership Functions
By Victor Varshavsky, Viacheslav Marakhovsky, Ilia Levin [496-238]

Proceedings of the
6th WSEAS International Conference on
NEURAL NETWORKS

-NN 2005-

Lisbon, Portugal, June 16-18, 2005

THURSDAY, JUNE 16, 2005

Keynote Lecture:

From Search Engines to Question-Answering Systems:
The Problems of World Knowledge, Relevance, Deduction and Precisiation

Prof. Lotfi Zadeh
University of Berkeley, USA
Director, Berkeley Initiative in Soft Computing (BISC)
zadeh@cs.berkeley.edu
http://www.cs.berkeley.edu/~zadeh

Session: Neural Networks in Identification and Control

Generalized predictive control with adaptive model based on neural networks

By Petr Pivonka, Petr Nepevný [496-287]

Platform independent neural semi-Inverse controller

By Petr Pivonka, Michal Schmidt [496-289]

Adaptive controller with identification based on neural network for systems with rapid sampling rates

By Václav Veleba, Petr Pivonka [496-291]

An Algorithm for Saving the Memory Utilization in the 1-D Cerebellar Model Controller
By Wang Chiang and Cheng-Chih Chien [496-110]

Tracking of moving targets in video sequences
By Marco Benvenuti, Sara Colantonio, Maria Grazia Di Bono, Gabriele Pieri, Ovidio Salvetti [496-257]

Reduced Neural Network Models for Dynamical Systems

By Said Aoughellanet, Tayeb Mohammedi, Youcef Bouterfa [496-195]

Neural Network based Three Axis Satellite Attitude Control using only Magnetic Torquers

By N. Sivaprakash, J. Shanmugam [496-148]

Using neural networks to establish the structural controllability and observability
By R. Pereira, J.C. Quadrado [496-JCQ3]

Session: Hybrid and Knowledge-Based Networks

HLS : Hybrid Learning System
By Jihane Boulahia-Smirani and Laurent Bougrain [496-275]

Initialized RHPNN for fault detection in MEMS
By R. Asgary and K. Mohammadi [496-144]

Neural Networks Trained with the EEM Algorithm: Tuning the Smoothing Parameter
By Jorge Santos, Joaquim Marques de Sá and Luís Alexandre [496-159]

Session: Applications in Classification and Forecasting

Application of Genetic Algorithm and Neural Network in Forecasting with Good Data
By Payam Makvandi, Javad Jassbi, Sohrab Khanmohammadi [496-160]

Bayesian Network Classifiers. An Application to Remote Sensing Image Classification
By Cristina Solares and Ana María Sanz [496-164]

Pisum sativum classification based on a methodological approach for pattern recognition using discriminant analysis and neural networks
By Anna Pérez-Méndez, Ronald Maldonado-Rodriguez, Elizabeth Torres-Rivas, Francklin Rivas-Echeverria [496-184]

Forecasting Daily Electricity Load Curves
By Rui Coelho, António Rodrigues [496-JCQ5]

An Artificial Neural Network Approach for Day-Ahead Electricity Prices Forecasting
By Joao Catalao, Silvio Mariano, Victor Mendes, Luis Ferreira [496-JCQ2]

The LNFC: Labeled Neuro-Fuzzy Classifier
By M. Nemissi, H. Seridi, H. Akdag [496-262]

Using Self-Organizing Networks for Intrusion Detection
By Richard Wasniowski [496-261]

Session: Neural Networks and Applications II

On the definition of functioning conditions of a mechanical system by means orthogonal processing
By Vincenzo Niola, Antonio Donnarumma, Giuseppe Quaremba [496-177]

The objects location from images binarized by means of self-learning neural network
By Vincenzo Niola, Giuseppe Quaremba,Sergio Savino [496-176]

Pattern recognition and feature extraction: a comparative study
By Vincenzo Niola, Giuseppe Quaremba [496-175]

Neural Networks in Damage Detection of Composite Laminated Plates
By L. Roseiro, U. Ramos, R. Leal [496-V1]

Design of the Models of Neural Networks and the Takagi-Sugeno Fuzzy Inference System for Prediction of the Gross Domestic Product Development
By Vladimir Olej [496-244]

Dynamics and Travelling Waves in CNN Vector-Disease Model
By Angela Slavova [496-229]

Wind Speed Prediction using Artificial Neural Networks
By P. M. Fonte, Goncalo Xufre Silva, J. C. Quadrado [496-JCQ4]

Session: Neural Networks and Applications III

Combination Methods for Ensembles of RBF Networks
By Carlos Hernandez-Espinosa, Joaquin Torres-Sospedra, Mercedes Fernandez-Redondo [496-151]

Combination Methods for Ensembles of Multilayer Feddforward
By joaquin Torres-Sospedra, Mercedes Fernandez-Redondo, Carlos Hernandez-Espinosa [496-150]

Ensembles of Multilayer Feedforward: A New Comparison
By Joaquin Torres-Sospedra, Carlos Hernandez-Espinosa, Mercedes Fernandez-Redondo [496-152]

Worm Detection and Auto-Signature Extraction in Large Scale Network
By Xin Yi, Fangbingxing, Yunxiaochun [496-295]

Hopfield networks with jump Markov parameters
By A. -M. Stoica and I. Yaesh [496-136]

Variable Selection and Prediction of Rainfall from WSR-88D Radar Using Support Vector Regression
By Budi Santosa, Michael B. Richman,Theodore B. Trafalis [496-207]

Detection of TCP Attacks Using SOM with Fast Nearest-Neighbor Search
By Jun Zheng, Mingzeng Hu [496-276]

Using Multi Layer Perceptron Network to Classify Road Cracks
By Heydar Toossian Shandiz, Hosein Ghasemzadeh Tehrani, Hadi Hadizadeh [496-252]

A Parallel Algorithm of Boltzmann machine with Rejectionless Method
By H. Zhu, K. Eguchi, H. Kai, N. Sun, T. Tabata [496-246]

"El-Dorra" Neuronal Network Technology, Remind and Optimization
By Omari Abdallah [496-230]

Least Square Multi-classification Support Vector Machines: Pair-wise (PALS-MSVM) & Piece-wise (PILS-SVM) formulations
By Olutayo Oladunni and Theodore B. Trafalis [496-227]

Pairwise multi-classification support vector machines: quadratic programming (qp-pamsvm) formulations
By Theodore B. Trafalis and Oluatayo Oladunni [496-222]

Neural network path planning applied to PUMA560 arm
By Said Aoughellanet, Tayeb Mohammedi, Youcef Bouterfa [496-194]

Session: Neural Networks Theory

A comparison between linear and nonlinear principal component analysis using neural networks and a novel technique for face recognition
By Aryan Salmanpour , Said Ali Saiedsalehi [496-203]

Modeling of Spatial Navigation Inspired by Rodent Hippocampus
By Michal Bures, Marcel Jirina [496-202]

Intelligent Model-Following Position Control for PMSM Servo Drives
By Fayez F. M. El-Sousy [496-200]

Medical training simulation system to assist novice physicians in diagnostic problem solving
By Leila Weitzel Martins, Joaquim Teixeira de Assis, André Soares Monat [496-186]

A Methodological Approach for Pattern Recognition System using discriminant analysis and artificial neural networks By Anna Perez-Mendez, Elizabeth Torres-Rivas, Francklin Rivas-Echeverria, Ronald Maldonado-Rodriguez [496-183]

Analysis of the results of lotteries using statistical methods and artificial neural networks
By Arturo Hernandez, Evelenir Barreto, Francklin Rivas, Felipe Pachano [496-181]

VLSI Implementation of CSFN Neural Network for Pattern Recognition Application
By Hamed Farshbaf and Hadi Esmaelzadeh [496-196]

Design of a Robust and Adaptive Sensorless Speed Controller for Induction Motor Drives Using General regression Neural Network Based Fuzzy Approach
By Farzan Rashidi [496-188]

Session: Neural Networks and Applications

Delayless Harmonic Filter for Single Phase Inverter Using Neural Network
By G. Elumalai, P. N. Neelakantan, K. Thanushkodi [496-297]

A fault tolerant connectionist model for predicate logic reasoning, variable binding: using coarse-coded distributed representations
By Sriram .G. Sanjeevi, Pushpak Bhattacharya [496-157]

Non-Derivative Optimization using Neural Network Model Based Predictive Control
By P. Aadaleesan, K. Ramkumar, S.Nithya, S. M. GiriRajkumar [496-190]