| DAY
1- July 10, 2000 |
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| 8:30am-10:00am |
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| Plenary
Session - Stephanie Forrest:Why
a Computer Needs an Immune System |
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| 10:00am-10:30am |
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| Break |
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| 10:30am-12:00pm |
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| Session
1 |
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| GA139 |
Enhancing the GA's Ability
to Cope with Dynamic Environments |
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| GA153 |
An Empirical Investigation
of Optimisation in Dynamic Environments Using CGA |
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| GA240 |
Multinational GAs: Multimodal
Optimization Techniques in Dynamic Environments |
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| GP206 |
Characterizing a Tunably
Difficult Problem in Genetic Programming |
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| GP185 |
Improving Induction of
Linear Classification Trees with Genetic Programming |
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| RW091 |
GP within a Framework
of Computer-Aided Discovery of Scientific Knowledge |
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| RW045 |
Genomic computing: explanatory
modelling for functional genomics |
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| GA141 |
Evolving Molecules for
Drug Design Using GAs via Molecular Trees |
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| RW066 |
Hybrid Differential Evolution
... Dynamic Optimization of A Bioreactor Process |
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| AA222 |
Evolving agent societies
that avoid social dilemmas |
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| AA254 |
Evolution of Strategies
in Spatial IPD Games with Structure Demes |
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| RW179 |
Adaptive Learning for
Poker |
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| ES004 |
An Evolutionary Algorithm
for Constrained Optimization |
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| ES056 |
Heterogeneity and Specialization
in Evolving Teams |
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| ES077 |
On Evolutionary Optimization
with Approximate Fitness Functions |
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| Journal
Showcase |
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| Heinz
Muehlenbein |
FDA, A Scalable Evolutionary
Algorithm |
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| Kargupta,
H. and Park, B. |
Gene Expression and Fast
Construction of Distributed Evolutionary Representation |
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| Filippo
Menczer |
Efficient and Scalable
Pareto Optimization by Evolutionary Algorithms |
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| 12:00pm-1:30pm |
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| Lunch |
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| 1:30pm-3:00pm |
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| Session
2 |
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| GP101 |
GP+Echo+Subsumption =
Improved Problem Solving |
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| GP191 |
Controlling Effective
Introns for Multi-Agent Learning by Genetic Programming |
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| GP124 |
A Kolmogorov Complexity-based
Genetic Programming tool for string compression |
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| CS097 |
Introducing a genetic
generalization pressure to theAnticipatory
Classifier System, Part I: Theoretical approach |
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| CS115 |
Introducing... Anticipatory
Classifier System Part 2: Performance Analysis |
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| CS188 |
Specifying Action Persistence
within XCS |
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| RW195 |
Heuristics for evolutionary
off-line routing in telecommunications networks |
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| RW014 |
A Fault-tolerant Multicast
Routing Algorithm in ATM Networks |
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| GA096 |
Distributed Steady-State
Neuro-Evolutionary Path Planning in Non-Stationary Environments Using Adaptive
Replacement |
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| GA071 |
A Note on Learning and
Evolution in Neural Networks |
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| NN169 |
An Evolutionary Algorithm
to Training NN for a Two-Spiral Problem |
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| RW225 |
Evaluations of GP and
NN Techniques for Nuclear Material Identification |
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| Journal
Showcase |
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| Ian
Parmee |
Multiobjective Satisfaction
within an Interactive Evolutionary Design Environment |
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| David
A. Van Veldhuizen |
Multiobjective Evolutionary
Algorithms |
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| Joshua
D Knowles |
Approximating the Nondominated
Front Using the Pareto Archived Evolution Strategy |
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| 3:00pm-3:30pm |
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| Break |
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| 3:30pm-5:00pm |
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| Session
3 |
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| GP256 |
Fitness Sharing in Genetic
Programming |
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| GA055 |
A Variable Radius Niching
Technique for Speciation in Genetic Algorithms |
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| GA063 |
Intelligent Recombination
Using Individual Learning in a Collective Learning Genetic Algorithm |
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| GA065 |
A Comparative Study of
Gene-Duplicated GAs Based on PfGA and SSGA |
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| GA067 |
Phlegmatic Mappings for
Function Optimisation with Genetic Algorithms |
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| GA183 |
A New GA-Local Search
Hybrid for Optimization in Rn Based on...Clustering |
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| RW127 |
Evolutionary Multiperiod
Asset Allocation |
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| RW175 |
A Multi-Adaptive Agent
Model of Generator Bidding in UK Market in Electricity |
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| RW203 |
Applying Genetic Algorithms
to Multi-Objective Land Use Planning |
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| SC130 |
Extrapolation-Directed
Crossover for Job-shop Scheduling Problems |
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| SC052 |
A steady-state evolutionary
algorithm for the job shop problem |
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| SC172 |
A Memetic Algorithm With
Self-Adaptive Local Search: TSP as a case study |
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| MA009 |
Takeover Times and Probabilities
of Non-Generational Selection Rules |
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| ES044 |
A new Selection Scheme
for Steady-State Evolution Strategies |
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| MA118 |
Selection Intensity in
Genetic Algorithms with Generation Gaps |
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Genetic
Algorithms |
| DAY
2 - July 11, 2000 |
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| 8:30am-10:00am |
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| Plenary
Session - Gil Syswerda: Successful Commercialization of Genetic Algorithms |
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| 10:00am-10:30am |
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| Break |
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| 10:30am-12:00pm |
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| Session
1 |
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| RW168 |
Structural Optimization
of Laminated Plates with Genetic Algorithms |
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| RW164 |
Informed operator: Speeding
up GA-based design using reduced models |
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| RW085 |
An Evolvable Laser System
for Femtosecond Pulse Generation |
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| GP003 |
The Effects of Randomly
Sampled Training Data on Program Evolution |
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| GA069 |
Quadratic Bloat in Genetic
Programming |
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| GP148 |
Genetic Programming with
Statically Scoped Local Variables |
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| SC081 |
A Comparison of Operators
for Solving Time Dependent TSPms Using GAs |
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| SC087 |
The Natural Crossover
for the 2D Euclidean TSP |
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| GA149 |
An Improved Adaptive Multi-Start
Approach ... Solutions to the Euclidean TSP |
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| GA200 |
Recombination Without
Respect |
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| GA116 |
Crossover in Probability
Spaces |
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| AA140 |
Chemical Crossover |
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| GA216 |
Solving
CSPs with using self-adaptive constraint weights |
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| RW070 |
Solving
Large Binary Quadratic Programming Problems by Genetic Local Search |
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| AA031 |
On
the development of spectral properties of visual agent receptors |
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| Journal
Showcase |
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| Hideaki
Suzuki |
Crossover Accelerates
Evolution in GAs with a Babel-like Fitness Landscape |
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| William
Hart |
A Convergence Analysis
of Unconstrained and Bound Constrained Evolutionary Pattern Search |
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| Giuliano
Grossi |
A Genetic Model: Analysis
and Application to MAX SAT |
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| 12:00pm-1:30pm |
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| Lunch |
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| 1:30pm-3:00pm |
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| Session
2 |
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| MA112 |
Polynomial Time Summary
Statistics for Two General Classes of Functions |
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| MA201 |
Effects of Finite Populations
on Evolutionary Stable States |
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| GA075 |
Time complexity of genetic
algorithms on exponentially scaled problems |
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| RW152 |
Genetic Programming for
Image Analysis: Orientation Detection |
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| RW047 |
Edge Detection of Petrographic
Images Using Genetic Programming |
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| RW015 |
A Genetic Segmentation
Algorithm for Image Data Streams and Video |
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| GA105 |
A Hybrid Genetic Algorithm
for Multiway Graph Partitioning |
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| GA106 |
A Hybrid Genetic Search
for Graph Partitioning Based on Lock Gain |
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| RW202 |
A Combined Evolutionary
Search and Multilevel Approach to Graph Partitioning |
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| DN131 |
Realities In Sequence
Design: Setting parameters for good sequences |
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| DN207 |
Applying Genetic Algorithms
to Multiple Sequence Alignment |
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| AA218 |
A New Molecular Computing
Model, Artificial Cell Systems |
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| Journal
Showcase |
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| Masaharu
Munetomo |
Linkage Identification
by Non-monotonicity Detection for Overlapping Functions |
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| C.
Krishna Mohan |
Adaptive Linkage Crossover |
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| Martin
Pelikan |
Linkage Problem, Distribution
Estimation, and Bayesian Networks |
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| 3:00pm-3:30pm |
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| Break |
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| 3:30pm-5:00pm |
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| Session
3 |
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| GA039 |
Improving EAs for Sequencing
Problems |
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| GA059 |
OMEGA - Ordering Messy
GA: Solving Permutation Problems with Random Keys |
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| RW025 |
A
New Genetic Algorithm for Minimum Span Frequency Assignment |
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| GP227 |
Exact Schema Theorem and
Effective Fitness for GP with One-Point Crossover |
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| GP147 |
Automatic Synthesis of
Electrical Circuits Containing a Free Variable using GP |
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| GA068 |
A Non-Linear Schema Theorem
for Genetic Algorithms |
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| RW057 |
Domain Knowledge and Representation
in GAs for Real World Scheduling Problems |
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| RW138 |
Evolutionary Real-World
Shop Floor Scheduling using... Coevolution |
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| GA167 |
Evolution Strategies for
a Parallel Multi-Objective Genetic Algorithm |
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| NN133 |
Evolving context-free
language predictors |
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| GA233 |
Linguistic Rule Extraction
by Genetics-Based Machine Learning |
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| GP226 |
Grammar based function
definition in Grammatical Evolution |
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| NN078 |
Eugenic Neuro-Evolution
for Reinforcement Learning |
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| GA165 |
A GA for Automatically
Designing Modular Reinforcement Learning Agents |
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| RW074 |
"Evolutionary,
my dear Watson" - Investigating Committee-based Evolution |
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| 7:15pm-8:00pm |
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| Poster
Reception |
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| 8:00pm-10:00pm |
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| Poster
Session |
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| DAY
3 - July 12, 2000 |
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| 8:30am-10:00am |
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| Plenary
Session - Dave Goldberg: The first meeting of the International Society for Genetic and
Evolutionary Computing |
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| 10:00am-10:30am |
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| Break |
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| 10:30am-12:00pm |
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| Session
1 |
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| GA150 |
Sampling Bias and Search
Space Boundary Extension in Real Coded GAs |
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| GA125 |
A Real-Coded Genetic Algorithm
using Distance Dependent Alternation Model |
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| GA194 |
A
Tri-Phase Multimodal Evolutionary Search Performance Profile |
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| GP235 |
Generating
Robust Control Equations with Genetic Programming |
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| GP072 |
Automatic Synthesis of
Both Topology and Tuning of a Common Controller |
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| GA108 |
Modeling GA Performance
for Control Parameter Optimization |
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| RW163 |
Code Compaction Using
Genetic Algorithms |
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| GA050 |
Genetic Algorithms for
Component Analysis |
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| GA089 |
Efficient Numerical Optimization
Algorithm Based on GA for Inverse Problem |
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| RW173 |
A Simple and Fast GA-SA
Hybrid Image Segmentation Algorithm |
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| RW157 |
Classification of Spectral
Imagery Using Genetic Programming |
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| GA212 |
Adaptive Wavelet Transform
for Lossless Image Compression using GA |
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| GA061 |
Hierarchical Problem Solving
by the Bayesian Optimization Algorithm |
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| GA062 |
Bayesian Optimization
Algorithm, Population Sizing, and Time to Convergence |
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| GA090 |
The Effects of Locality
on the Dynamics of Decoder-Based Evolutionary Search |
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| Journal
Showcase |
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| J.
F. Miller, D. Job and V. Vassilev |
Principles in the Evolutionary
Design of Digital Circuits |
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| Dirk
Thierens |
Scalability Problems of
Simple Genetic Algorithms |
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| W.
B. Langdon |
Scaling of Program Fitness
Spaces |
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| 12:00pm-1:30pm |
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| Lunch |
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| 1:30pm-3:00pm |
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| Session
2 |
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| GA117 |
A GA with Tabu Search
for Multimodal and Multiobjective Function Optimization |
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| GA242 |
An
Adaptive Hyperplane Approach for Multiple Objective Optimization |
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| GA229 |
Cellular Genetic Local
Search for Multi-Objective Optimization |
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| EH040 |
Evolutionary Synthesis
of Multiplexor Circuits under Hardware Constraints |
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| EH114 |
Evolution and Learning
for Digital Circuit Design |
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| EH196 |
A Novel Evolvable Hardware
Framework for the Evolution of Digital Circuits |
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| NN260 |
Improving Genetic Programming
to Generate Smaller Decision Trees |
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| NN119 |
Using Evolutionary Algorithms
to Induce Oblique Decision Trees |
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| NN020 |
A hybrid decision tree/genetic
algorithm for small disjuncts in data mining |
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| RO064 |
Evolutionary Robotics:
Coping with Environmental Change |
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| RO135 |
The Effects of Team Size
on the Evolution of Distributed Micro Air Vehicles |
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| RO217 |
Evolutionary Design of
Behaviors for Action-Based Environment Modeling by a Mobile Robot |
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| Journal
Showcase |
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| Ricardo
Salem Zebulum, Marley Vellasco |
Variable Length Representations
in Evolutionary Electronics |
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| Capcarrere
Mathieu |
A Statistical Study of
a Class of Cellular Evoltionary Algorithms |
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| Vesselin
K. Vassilev |
Information Characteristics
and the Structure of Landscapes |
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| 3:00pm-3:30pm |
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| Break |
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| 3:30pm-5:00pm |
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| Session
3 |
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| AA146 |
Levels of Compartmentalization
in Artificial Evolution |
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| GA049 |
Optimal Mutation Rates
and Selection Pressure in Genetic Algorithms |
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| GA181 |
Using Genetic Algorithms
with Asexual Transposition |
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| AN158 |
Ant Colony Optimization
for Resource-Constrained Project Scheduling |
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| GA205 |
Performances study on
crossover operators ... for some scheduling problems |
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| GP041 |
Job-Shop Scheduling with
GP |
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| SC111 |
A Comparison of GA for
the Dymanic Job Shop Scheduling Problem |
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| GA095 |
A Hybrid Genetic Algorithm
for the Quadratic Assignment Problem |
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| GA046 |
Enhancing the Performance
of a GA through Visualisation |
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| AA187 |
Autonomous Acquisition
of Fuzzy Rules for mobile Robot Control: First Results from two Evolutionary
Computation Based Approaches |
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| RW012 |
Interactive Evolution
of Adaptive Parameter for Speaker Verification Systems |
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| RW094 |
ESP - Metaphor for learning:
an evolutionary algorithm |
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| GA110 |
Bad Codings and the Utility
of Well-Designed Genetic Algorithms |
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| NN253 |
Multi-objective pattern
and feature selection by genetic algorithms |
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