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TECHNICAL PROGRAM
Monday September 22, 2003, 11:00am to 12:30pm
________________________________________________________________________
Session M21 Room 2100 Transportation Applications I
Chair Shinya Kikuchi
University of Delaware,
Newark, Delaware, USA
________________________________________________________________________
M21-47 Dusan Teodorovic Fuzzy Mathematical Programming
Virginia
Polytechnic Institute Model for Optimizing Airport
State University, Blacksburg, Capacity Utilization
Virginia, USA
M21-48 Mauro Dell'Orco Measuring Uncertainty in
Politecnico de
Bari, Italy Information
M21-50 Michele Ottomanelli Modeling Drivers Uncertainty
in Polytechnic University of Bari, Traffic Assignment Models: A
Italy Possibility Theory
Based Approach
Vincent Henn
LICIT-ENTPE, France
M21-23 Metin Senbil and Heterogeneity in Commuter
Ryuichi
Kitamura Departure Time Decision: A
Kyoto University,
Japan Prospect Theoretic Approach
M21-54 Hitoshi Furuta and Evacuation Simulation in Underground
Masahiro Yasui Mall by Artificial Life
Technology
Kansai University, Japan
________________________________________________________________________
Monday September 22, 2003, 11:00am to 12:30pm
______________________________________________________
Session M22 Room 2102 Structural
Applications I
Chair Achintya Haldar
University of Arizona
Tucson, Arizona, USA
________________________________________________________________________
M22-1 Hasan Katkhuda, Stiffness
Identification Under
Flores R. Martinez and Uncertain Blast Loading
Achintya Haldar
University of Arizona, Tucson,
Arizona, USA
M22-4 Jungwon Huh Reliability Evaluation
using
Yosu National University, Korea Finite Element Method
Sueng Y.Lee
Arizona Dept. of Transportation,
Arizona, USA
Achintya Haldar
University of Arizona, USA
M22-5 M. Beer, B. Moller, and M. Liebscher Processing Uncertainty
in
Dresden University of Technology Structural
Analysis, Design
Germany and Safety Assessment
M22-9 Tarek Kudsi and Sherif Ali Reliability of
Underground Dar
Al Handasah Consultants, Concrete Structures under
Beirut,
Lebanon Water Ingress Attack
M22-85 Gerhart Schueller Structural Reliability
University of Innsbruck Estimation Procedures for
High
Dimensional Problems
________________________________________________________________________
Monday September 22, 2003, 11:00am to 12:30pm
________________________________________________________________________
Session M23 Room 2104 Fuzzy Systems I
Co-Chairs Tibor Vamos J. J. Buckley
Hungary Academy of Sciences University of
Alabama, Budapest,
Hungary Birmingham, Alabama,
USA
________________________________________________________________________
M23-6 Tibor Vamos Why Fuzzy in
Data Hungary Academy of
Sciences Mining
Budapest, Hungary
M23-15 J. J. Buckley, Kelly Reilly Crisp Simulation of
and X.
Zheng Fuzzy Computations
University of Alabama, USA
M23-66 Amir A Meghdadi Uncertainty Modeling
Azad University of Mashhad Through
Probabilistic
Mohammad-R. Akbarzadeh-T. Fuzzy Systems
Ferdowsi University of Mashhad
________________________________________________________________________
Monday September 22, 2003, 2:00pm to 3:30pm
________________________________________________________________________
Session M31 Room 2100 Transportation Applications II
Chair Ghassan Abu-Lebdeh
Michigan State University,
E. Lansing, Michigan, USA
________________________________________________________________________
M31-72 Marie Alice Jacques Studying the Importance of Fuzzy
University of Brasilia, Sets Definitions for
Fuzzy Signal
Brazil Controllers
M31-42 Ghassan Abu-Lebdeh Configuring Micro-Genetic
Michigan State University, USA Algorithms for Solving
Traffic Bashar H. Al Omari Control Problems: The
Case of
Jordan University of Number of Generations
Science and Technology, Jordan
M31-14 Wa'el H. Awad Neural Networks Model to Estimate
Al-Balqa' Applied University Traffic Capacity for Weaving
Amman,
Jordan Segments
M31-41 Guilio E. Cantarella and Modeling Transportation Mode Choice
S. De Luca through Artificial Neural
Networks
University of Salerno, Italy
________________________________________________________________________
Monday September 22, 2003, 2:00pm to 3:30pm
________________________________________________________________________
Session M32 Room 2102 Manufacturing Applications
Co-Chairs L.E.K. Achenie Gilberto F. M. de Souza,
University of Connecticut, Storrs, University of Sao Paulo, Sao
Paulo, Connecticut, USA Brazil
________________________________________________________________________
M32-8 Gilberto F. M. de Souza, Reliability Concepts Applied to
João Paolo Marcicano, Manufacturing
Processes Planning
Carmen Elena P. Rodriguez, and
Diego M. Tomaz
University of São Paulo, Brazil
M32-11 G.M. Ostrovsky, L.E.K. Achenie Split and Bound Method for
I.V Datskov Process
Optimization under University of
Connecticut, USA Parametric Uncertainty
Yu M. Volin
Karpov Institute of
Physical Chemistry, Russia
M32-75 Domonkkos Tikk and Experiment with a Hierarchical
Gyorgy Biro text Categorization Method on
the Budapest
University of WIPO-alpha Patent Collection
Technology and Economics,
Hungary
M32-77 Sanja Petrovic and A New Approach to Two
Xueyan Song Machine Flow Shop Problem with
University of
Nottingham, England Uncertain Processing Time
________________________________________________________________________
Monday September 22, 2003, 2:00pm to 3:30pm
________________________________________________________________________
Session M33 Room 2104 Innovative Techniques
I
Co-Chairs Rebecca M. Burnett Valerie Cross
John Hopkins University Miami University, Oxford,
Laurel, Maryland, USA Ohio, USA
________________________________________________________________________
M33-63 Steven Langs Experiments in Emergent
John Hopkins
University Collaboration in Swarms of
Maryland, USA Simple
Agents
M33-64 Rebecca M. Burnett Application of Stochastic
Johns
Hopkins University Optimization to Collision
Maryland,
USA Avoidance
M33-71 Valerie Cross Uncertainty in the
Miami University Automation of Ontology
Ohio, USA Matching
M33-79 Sanjeevakumar Redlapalli, Development of Quadratic
Madan M. Gupta and Neural Unit with
Ki-Young
Song Applications to Pattern University of
Saskatchewan Classification
Saskatoon, Canada
M33-84 Noriyasu Homma Self-Organizing Neural
Madan M. Gupta Networks by Dynamic and
Makoto Yoshizawa, and Spatial Changing Weights
Kenichi Abe
University of Saskatchewan
Saskatoon, Canada
________________________________________________________________________
Monday September 22, 2003, 4:00pm to 5:30pm
________________________________________________________________________
Session M41 Room 2100 Transportation Applications
III
Chair Shinya Kikuchi
University of Delaware,
Newark, Delaware, USA
________________________________________________________________________
M41-40 Guilio E. Cantarella and Fuzzy Utility Theory for
Analyzing Viviana Fedele Discrete Choice
Behavior
University of Salerno, Italy
M41-43 Phillip Rust and Evaluation Freeway Diversion Route
Ahmed Abdel-Rahim Plans in Integrated Incident
University of
Idaho Management Systems under USA
Uncertainties
M41-46 Shinya Kikuchi Fuzziness in the Parameters of
University
of Delaware, Transportation Analysis
Delaware, USA
M41-17 Thamizh V. Arasan and Modeling Stochasticity of
Reebu
Zachariah Koshy Heterogeneous Traffic
IIT Madras, India
________________________________________________________________________
Monday September 22, 2003, 4:00pm to 5:30pm
________________________________________________________________________
Session M42 Room 2102 Innovative Techniques
II
Co-Chairs Robb Wilcox
Johns Hopkins University,
Laurel, Maryland, USA
________________________________________________________________________
M42-29 Cliff Joslyn Multi-Interval Elicitation of
Los Alamos National Lab, Random Intervals for
New Mexico,
USA Engineering Reliability
Analysis
M42-38 Vicente Romero, John Burkhardt Initial Evaluation of
Max
Gunzburger, and Janet Peterson Centroidal Voroni Sandia
National
Laboratories, Tessellation as a Sampling
New Mexico, USA Method for Function
Integration and
Statistical
Sampling
M42-60 Li Junian, Fuzzy Control of Multiple
Tony Chau, and Medium Admissions in ATM
Li Tong Network
ZLC AI Institute, USA
M42-86 Robb Wilcox Uncertainty Modeling of
Johns Hopkins University Data and Uncertainty
Maryland, USA Propagation for Risk Studies
Bilal M. Ayyub
University of Maryland
Maryland, USA
________________________________________________________________________
Monday September 22, 2003, 4:00pm to 5:30pm
________________________________________________________________________
Session M43 Room 2104 Fuzzy Systems II
Chair Mark Kaminskiy
University of Maryland
Maryland, USA
________________________________________________________________________
M43-22 Prakhar Vaish Application of Fuzzy Theory
Bangalore, India to Term Based
Portfolio
Selection
M43-57 Sio Iong Ao Hybrid Fuzzy-EC System in
The Chinese
University of Hong Kong, Simulation and Selection of Hong
Kong Stock Experts
M43-21 T. Y.Lin Apply Fuzzy Logic to
National Defense
University, Smart-Bike Controller Taiwan
Design
M43-58 Sio Iong Ao Using Fuzzy Rules for
The Chinese University
of Hong Kong, Prediction in Tourist Hong Kong
Industry with
Uncertainty
_____________________________________________________________________
Tuesday September 23, 2003, 8:30am to 10:30am
________________________________________________________________________
Session T11 Room 2104 Panel Discussion on Fuzzy
Systems
Moderator G.J. Klir
State University of New York
at Binghamton, New York, USA
________________________________________________________________________
It is envisaged that the following three directions will dominate the
agenda of basic and applied research within the area of fuzzy systems
in the coming years:
1. A development of practical methods for dealing with large-scale
fuzzy systems that may be knowledge-based, model-based, or combined.
Efforts in this direction will undoubtedly involve not only the use of
neural networks, genetic algorithms, and other software tools, but
also specialized hardware for fuzzy logic and fuzzy arithmetic.
2. Fuzzy systems will play a central role in developing computing with
expressions in natural language which, in turn, will attempt to
approximate perceptions. This challenging area will require
additional developments of fuzzy set theory, including the areas based
on the various non-standard fuzzy sets, as well as addressing the
issues of fuzzy probabilities, principles of linguistic approximation,
and other challenging issues. 3. Increasing use and greater
acceptance of the use of fuzzy systems in science (as contrasted with
engineering, where fuzzy systems are well established). Some of the
sciences where fuzzy systems are likely to be accepted soon include
chemistry, geology, geography, economics and some areas of computer
science.
________________________________________________________________________
Panelists Shinya Kikuchi
University of Delaware
Newark, Delaware, USA
Tibor Vamos
Hungary Academy of Sciences
Budapest, Hungary
Hitoshi Furuta
Kansai University
Osaka, Japan
J. J. Buckley
University of Alabama
Birmingham, Alabama, USA
________________________________________________________________________
Tuesday September 23, 2003, 11:00am to 12:30pm
________________________________________________________________________
Session T21 Room 2100 Panel Discussion on Transportation
Moderator Shinya Kikuchi
University of Delaware,
Newark, Delaware, USA
________________________________________________________________________
The formulation and solution of current transportation problems
involves the application of different uncertainty principles.
Recently, the combination of different uncertainty techniques, the so
called Hybrid Approach, has been increasing attention. This panel
will discuss both the philosophical and mathematical nature of these
hybrid techniques.
________________________________________________________________________
Panelists Dusan Teodorovic
Virginia Polytechnic Institute and
State University, Blacksburg,
Virginia, USA
Mauro Dell'Orco
Politecnico de Bari, Italy
Michael Bell
Imperial College of London,
London, England
Ryuichi Kitamura
Kyoto University
Kyoto, Japan
Ghassan Abu-Lebdeh
Michigan State University,
Michigan, USA
________________________________________________________________________
Tuesday September 23, 2003, 8:30am to 10:30am
________________________________________________________________________
Session T12 Room 2102 Risk Analysis
Co-Chairs Chris L. Pettit I. Assakkaf
Air Force Research Laboratory University of
Maryland,
Wright-Patterson Air Force Base, College Park,
Ohio, USA Maryland, USA
________________________________________________________________________
T12-3 Pavel Marek Simulation as
an
Academy of Sciences of the Czech Republic; Alternative to
Achintya Haldar Risk-Based Engineering
University of Arizona,
USA Design
T12-7 Mark Jablonowski Exploratory
Modeling
United Technologies Corporation/Otis Managing
Uncertain
Elevator, Connecticut, USA Risk
T12-37 Chris L. Pettit and Risk Allocation for
Duane E Veley Systems
Engineering of
Air Force Research Laboratory Airframes
T12-76 Bilal Ayyub and Risk-Based Compliance
Khalid
Nejaim Assessment Models for
University of
Maryland Personal Flotation
USA Devices
T12-78 I. Assakkaf and
Reliability-Based J.
Cardenas-Garcia Design of Doubler
University of Maryland, USA Plates for
Ship
Structures
________________________________________________________________________
Tuesday September 23, 2003, 8:30am to 10:30am
________________________________________________________________________
Session T13 Room 2104 Biological Applications
Chair Robert J.Sclabassi
University of Pittsburgh
Pittsburgh, USA
________________________________________________________________________
T13-25 Bin Tian, Mingui Sun A Unified Compensation
Robert J. Sclabassi, and Approach for Speech
Kechu Yi Recognition in
Severely University of Pittsburgh,
USA Adverse Environment
T13-39 Lin-Sen Pon, Inter-Ictal Spike
Mingui Sun, and Analysis using Stochastic
Robert J. Sclabassi Point Processes
University of Pittsburgh, USA
T13-69 Rafael E. Herrera Event-Related Noise Reduction
Mingui Sun using the Hidden
Markov Tree
Ronald E. Dahl Model
Neal D. Ryan, and
Robert J. Sclabassi
Presbyterian University Hospital,
Pittsburgh, USA
T13-73 Daniel Bentil Modeling Uncertainty in
University of
Vermont Population Dynamics
Vermont, USA
________________________________________________________________________
Tuesday September 23, 2003, 11:00am to 12:30pm
________________________________________________________________________
Session T22 Room 2102 Panel Discussion: Neural Networks-Past,
Present and Future
Moderator Madan Gupta
University of Saskatchewan
Saskatoon, Canada
________________________________________________________________________
With the evolution of our complex technological society and the
introduction of new notions and innovative theoretical tools in the
field of intelligent systems, the field of neural networks is
undergoing an enormous evolution. These evolving and innovative
theoretical tools are centered around the theory of soft computing, a
theory that embodies the theory from the fields of neural network,
fuzzy logic, evolutionary computing, and genetic algorithms. These
tools of soft computing are used to introduce some intelligence and
robustness in the complex and uncertain systems similar to those found
in biological species. In this session we will examine the past and
the present of this exciting field of neural networks, and cast upon
some new thoughts for the future research work.
________________________________________________________________________
Panelists Hitoshi Furuta
Kansai University
Osaka, Japan
Robert J. Sclabassi
University of Pittsburgh
Pittsburgh, USA
Deidre E. Paris
Clark Atlanta University
Atlanta, Georgia, USA
G. W. Flintsch
Virginia Polytechnic Institute and
State University, Virginia, USA
________________________________________________________________________
Tuesday September 23, 2003, 11:00am to 12:30pm
________________________________________________________________________
Session T23 Room 2104 Panel Discussion on Optimization under
Uncertainty
Moderator Vicente Romero
Sandia National Laboratories,
New Mexico, USA
________________________________________________________________________
All optimization with computer models is really optimization under
uncertainty (OUU) because of the inherent error and uncertainty in
these models. Therefore, Model Validation becomes important in
optimization. Uncertainty exists not only in the models, but
sometimes also in the inputs and controls of the physical system or
process to be optimized, and perhaps in the process or system itself
even if supplied fixed inputs and controls. All of these complexities
must be taken into account in optimization, and therefore OUU presents
an exciting research challenge. Is the sophisticated research having
an input in the real world? Can you relay any experiences where a
product has been improved or a decision made based on OUU modeling?
What are the future prospects for the more sophisticated OUU
approaches versus the classical experimental design/response surface
methodology approaches to OUU?
________________________________________________________________________
Panelists Rebecca M. Burnett
Johns Hopkins University
Laurel, Maryland, USA
Sharon Padula
NASA, Langley Research Center,
Hampton, Virginia, USA
Chun-Hung Chen
George Mason University,
Fairfax, Virginia, USA
Brian Rutherford
Sandia National Laboratories
Albuquerque, New Mexico, USA
________________________________________________________________________
Tuesday September 23, 2003, 2:00pm to 3:30pm
________________________________________________________________________
Session T31 Room 2100 Optimization under Uncertainty
I
Co-Chairs Vicente Romero Sharon Padula
Sandia National Laboratories, NASA, Langley Research Center,
New Mexico, USA Virginia, USA
________________________________________________________________________
T31-32 Sharon Padula, Aerospace Applications of
Clyde Gumbert,
and Optimization under Uncertainty
Li Wu
NASA
Langley Research Center, USA
T31-65 Xueyong Qu and Reliability-Based Design Optimization
Raphael T. Haftka of Stiffened Panels
University of Florida, USA
T31-68 Dhanesh Padmanabhan Monte Carlo Simulation on
University
of Notre Dame, USA Reliability- Based Optimization
using
Approximation Concepts
T31-27 Michael N. Levy, Quasi-Newton Methods for Stochastic
Michael W. Trosset and Optimization
Rex Kincaid
College of William & Mary, USA
________________________________________________________________________
Tuesday September 23, 2003, 2:00pm to 3:30pm
________________________________________________________________________
Session T32 Room 2102 Neural Networks
Chair Deidre E. Paris
Clark Atlanta University,
Atlanta, Georgia, USA
________________________________________________________________________
T32-2 Robyn R. Bates, Seizure Detection by Recurrent
Back
Mingui Sun, Propagation Neural Network
Analysis
Mark L. Scheuer, and
Robert J. Sclabassi
University of Pittsburgh, USA
T32-26 Qiang Liu, An Application of MAP to Change
Mingui Sun, and Detection in Moving Video
Robert J. Sclabassi
University of Pittsburgh, USA
T32-81 Ki-Young Song, Cubic Neural Unit for Control
S. Redlapalli and Applications
Madan M. Gupta
University of Saskatchewan
Canada
T32-82 Ivo Bukovsky, Quadratic and Cubic Neural Units
S. Redlapalli, and for Identification and Fast
State
Madan M. Gupta Feedback Control of Unknown
University of Saskatchewan Non-Linear Dynamic Systems
Canada
________________________________________________________________________
Tuesday September 23, 2003, 2:00pm to 3:30pm
________________________________________________________________________
Session T33 Room 2104 Asset Management Applications
Co-Chairs Adjo Amekudzi Hitoshi Furuta
Georgia Institute of Technology Kansai University,
Atlanta, Georgia, USA Osaka, Japan
________________________________________________________________________
T33-16 Deidre E. Paris Neural Networks for Managing
Clark
Atlanta University, USA Multifamily Properties
T33-83 Mauro Dell'Orco An Artificial Intelligence Approach
Politecnico de Bari, Italy for Parking Facilities
Management
T33-56 Hitoshi Furuta and Time Series Prediction of Earthquake
Yasutoshi Nomura Input by Using Soft Computing
Kansai University, Japan
________________________________________________________________________
Tuesday September 23, 2003, 4:00pm to 5:30pm
________________________________________________________________________
Session T41 Room 2100 Panel Discussion on
Structural
Applications
Moderator Achintya Haldar
University of Arizona,
Arizona, USA
________________________________________________________________________
Presence of uncertainties in structural design involving concrete,
masonry, steel, and wood has been accepted by the profession. All
related design codes have been modified or in the process of being
modified. However, the practicing structural engineering community
essentially ignored such developments. There are many reasons for
this avoidance including lack of education, unavailability of computer
programs or other design aids, lack of interest of the regulatory
agencies, etc. An open discussion by the experts participating in
ISUMA'03 is expected to shed more light on the subject and may help us
develop strategies that can be used in the future to promote
risk-based structural design.
________________________________________________________________________
Panelists M. Beer
Dresden University of Technology
Germany
Tarek Kudsi
Dar Al Handasah Consultants
Beirut, Lebanon
Zoubir Lounis
National Research Council
Ontario, Canada
Mustapha Chouman
Dar Al Handasah Consultants
Beirut, Lebanon
________________________________________________________________________
Tuesday September 23, 2003, 4:00pm to 5:30pm
________________________________________________________________________
Session T42 Room 2102 Transportation Applications IV
Co-Chairs Dusan Teodorovic
Virginia Polytechnic Institute and
State University, Blacksburg,
Virginia, USA
________________________________________________________________________
T42-55 Taegon Kim Delay Predictive Modeling on the
Junghoon Kim Continuous Exit-After-Entrance
Ramp
Eunjin Lee, and Junctions of the Urban Freeway
under
Inyeong Kwon the Speed Surveillance
Korea Maritime University
South Korea
T42-61 Anthony Chen A Two-Dimensional Simulation
Pravinvongvuth Surachet, Technique for Quantifying the
Chootinanan Piya, and Uncertainty of a Combined
Travel
Utah State University, USA Demand Model
T42-62 Anthony Chen, A Simulation-based Multi-Objective
Kitti Subprasom, and Genetic Algorithm (SMOGA) for
Eric Z. Ji Transportation Network Design
Utah State University, USA Problem
________________________________________________________________________
Tuesday September 23, 2003, 4:00pm to 5:30pm
________________________________________________________________________
Session T43 Room 2104 Optimization under
Uncertainty II
Chair Vicente Romero
Sandia National Laboratories
New Mexico, USA
________________________________________________________________________
T43-13 James Glimm, Prediction using Numerical Simulations,
Li Yunha, A Bayesian Framework for
Uncertainty
David Sharp, and Quantification and its
Statistical
Kenny Ye, Challenges
SUNY at Stony Brook, USA
T43-19 Chun-Hung Chen, Efficient Sampling for Simulation-
George Mason University, USA based Optimization under
Uncertainty
T43-24 Brian Rutherford, A Response Modeling Approach to
Sandia National Laboratories, Experimental Design for
Optimal
USA Product Design
T43-33 Jim Kao, Using Extended Kalman Filter for Data
Dawn Flicker, Assimilation and Uncertainty
R. Henninger, Quantification in Shock-Wave
Michael Ghil, and Dynamics
Kayo Ide
Los Alamos National Laboratory,
USA
________________________________________________________________________
Wednesday September 24, 2003, 8:30am to 10:30am
________________________________________________________________________
Session W11 Room 2100 Optimization under Uncertainty III
Co-Chairs Vicente Romero Sharon Padula
Sandia National Laboratories NASA, Langley Research Center
New Mexico, USA Virginia, USA
________________________________________________________________________
W11-35 Vicente Romero Application of Probabilistic Ordinal
Doug
Ayon, and Optimization Concepts to a Continuous-Variable
Chun-Hung Chen Probabilistic Optimization Problem
Sandia National Laboratories
USA
W11-67 David W. Hutchison and Simulation Optimization of Airline Delay
Stacy D. Hill with Constraints and Multiple
Objectives
Johns Hopkins
University, USA
W11-34 Z. Wan, and Adaptive Sampling for Optimization
T. Igusa under Uncertainty
Johns Hopkins
University, USA
________________________________________________________________________
Wednesday September 24, 2003, 8:30am to 10:30am
________________________________________________________________________
Session W12 Room 2102 Structural
Applications II
Chair Tarek N.. Kudsi,
Dar Al Handasah Consultants
Beirut, Lebanon
________________________________________________________________________
W12-10 Mustapha Chouman, Assessment of Methods
Dar Al Handasah
Consultants Predicting Tendon Loss
Beirut, Lebanon and Concrete Compression Loss
in
Partially Pre-stressed
Concrete
W12-12 Mustapha Chouman Initial and Long Term
Dar Al Handasah
Consultants Deflection of Partially
Beirut, Lebanon Pre-Stressed Concrete
W12-18 Tarek N. Kudsi and` Reliability of Underground
Ali S. Sharif Concrete Structures
under
Dar Al Handasah Consultants Water Ingress Attack
Beirut, Lebanon
W12-28 Tarek N. Kudsi, and Risk Assessment of an Existing
Rania Al-Hammoud, Concrete Structure "A
System
Dar Al Handasah Consultants Reliability-Based
Approach"
Beirut, Lebanon
W12-36 Zoubir Lounis, Probabilistic Modeling of
National
Research Council Chloride Contamination &
Canada Corrosion of Concrete
Bridge Structures
________________________________________________________________________
Wednesday September 24, 2003, 8:30am to 10:30am
________________________________________________________________________
Session W13 Room 2100 Panel Discussion on Genetic Algorithm
Applications
Moderator Ghassan Abu-Lebdeh
Michigan State University,
E. Lansing, Michigan, USA
________________________________________________________________________
Genetic algorithms are based on a biological metaphor: They view
learning as a competition among a population of evolving candidat
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