Poster
Session 1
Chairman: Jim Smith
 LSCMAES: a Secondorder algorithm for
Covariance Matrix Adaptation. Auger, A., Schoenauer, M. and
Vanhaecke, N.
 The Ising Model: Simple Evolutionary
Algorithms as
Adaptation Schemes. Briest, P., Brockhoff, D., Degener, B.,
Englert, M., Gunia, C., Heering, O., Jansen, T., Leifhelm, M.,
Plociennik, K. and Röglin, H., Schweer, A., Sudholt, D., Tannenbaum,
S.and Wegener, I .
 Spread of Vector Borne Diseases in a
Population with
Spatial Structure. Chu, D. and Rowe, J.E.
 Migration of Probability Models Instead of
Individuals: an Alternative When Applying the Island Model to EDAs.
De la Ossa, L., Gámez, J.A. and Puerta, J.M.
 Control of bloat in Genetic Programming by
means of the Island Model. Fernández, F., Galeano, G., Gómez, J.A.
and Guisado, J.L.
 Design Of An Efficient Search Algorithm For
P2P Networks Using Concepts From Natural Immune Systems. Ganguly,
N., Canright, G. and Deutsch, A.
 Intransitivity in coevolution. De Jong, E
.D.
 Evolutionary MultiAgent Systems. 't Hoen,
P.J. and De Jong, E.D.
 Fast Unsupervised Clustering with Artificial
Ants. Labroche, N., Guinot, C. and Venturini, G.
 A Primer on the Evolution of Equivalence
Classes of BayesianNetwork Structures. Muruzábal, J. and Cotta, C.
 Expected Runtimes of a Simple Evolutionary
Algorithm for the Multiobjective Minimum Spanning Tree Problem. Neumann,
F.
 Sequential Process Optimisation Using Genetic
Algorithms. Oduguwa, V., Tiwari, A. and Roy, R.
 Behavior of Evolutionary Algorithms in
Chaotically Changing Fitness Landscapes. Richter, H.
 Dominance Based Crossover Operator for
Evolutionary Multiobjective Algorithms. Rudenko, O. and
Schoenauer, M.
 A Neuroevolutionary Approach to Emergent Task
Decomposition. Thangavelautham, J and D'Eleuterio, G.M.T.
 Recognizing Speed Limit Sign Numbers by
Evolvable Hardware. Torresen, J., Bakke, J.W. and Sekanina, L.
Poster Session 2
Chairman: Edmund Burke
 An Artificial Immune System for FuzzyRule
Induction in Data Mining. Alves, R.T., Delgado, M.R., Lopes, H.S.
and Freitas, A.A.
 Forecasting Time Series by means of
Evolutionary Algorithms. ArcoCalderón, C. Luque del, Vinuela,
P. Isasi , Castro, J. and Hernández C.
 Learning Probabilistic Tree Grammars for
Genetic Programming. Bosman, P.A.N. and De Jong, E.D.
 Evolutionary Continuous Optimization by
Distribution Estimation with Variational Bayesian Independent Component
Analyzers Mixture Model. Cho, D.Y. and Zhang, B.T.
 Robustness in the long run: Autoteaching vs
Anticipation in Evolutionary Robotics. Godzik, N., Schoenauer, M.
and Sebag, M.
 Evaluating the CMA Evolution Strategy on
Multimodal Test Functions. Hansen, N. and Kern, S.
 Bridging the Gap Between Theory and Practice.
Jansen, T. and Wiegand, R.P.
 Ensemble Learning with Evolutionary
Computation: Application to Feature Ranking. Jong, K., Marchiori,
E. and Sebag, M .
 Credit Assignment among Neurons in Coevolving
Populations. Khare, V.R., Yao, X. and Sendhoff, B.
 SPEA2+: Improving the Performance of the
Strength Pareto Evolutionary Algorithm 2. Kim, M., Hiroyasu, T.,
Miki, M. and
Watanabe, S.
 Exploring the Evolutionary Details of a
FeasibleInfeasible TwoPopulation GA in the Context of Constrained
Optimization. Kimbrough, S.O., Lu, M. and Wood, H.D.
 Evolving Genetic Regulatory Networks for
Hardware Fault Tolerance. Koopman, A. and Roggen, D.
 An Evolutionary Approach to Modeling Radial
Brightness Distributions in Elliptical Galaxies. Li, J., Yao, X.,
Frayn, C., Khosroshahi, H.G. and Raychaudhury, S.
 The Infection Algorithm: An Artificial
Epidemic Approach for Dense Stereo Matching. Olagüe, G.,
Fernández, F., Pérez, C.B. and Lutton, E.
 MultiObjective Optimization of a Composite
Material Spring Design Using an Evolutionary Algorithm. Ratle, F.,
Lecarpentier B., Labib, R. and Trochu, F.
 Expected rates of building block discovery,
retention and combination under 1point and uniform crossover. Skinner,
C. and
Riddle, P.
 An Analysis of the Effectiveness of
Multiparent Crossover. Ting, C.K.
Poster Session 3
Chairman: JJ Merelo
 An Inexpensive Cognitive Approach for
BiObjective Optimization Using Bliss Points and Interaction. Abbass,
H.A.
 On the Quality Gain of (1, λ)ES under
Fitness Noise. Beyer, H.G. and MeyerNieberg, S.
 Sequential Sampling in Noisy Environments. Branke,
J. and Schmidt, C.
 Experimental Supplements to the Theoretical
Analysis of EAs on Problems from Combinatorial Optimization.
Briest, P., Brockhoff, D., Degener, B., Englert, M., Gunia, C.,
Heering, O., Jansen, T., Leifhelm, M., Plociennik, K. and Röglin, H.,
Schweer, A., Sudholt, D., Tannenbaum, S. and Wegener, I .
 A Hybrid GRASP  Evolutionary Algorithm
Approach to Golomb Ruler Search. Cotta, C. and Fernández, A.
 A Novel Ant Algorithm for Solving the Minimum
Broadcast Time Problem. Hasson, Y. and Sipper, M.
 Evolutionary Multiobjective Knowledge
Extraction for HighDimensional Pattern Classification Problems. Ishibuchi,
H. and Namba, S.
 Hierarchical Genetic Algorithms. De Jong,
E.D., Thierens, D. and Watson, R.A.
 The Application of Bayesian Optimization and
Classifier Systems in Nurse Scheduling. Li, J. and Aickelin, U.
 Natural Policy Gradient Reinforcement Learning
for a CPG Control of a Biped Robot. Nakamura, Y., Mori, T. and
Ishii, S.
 A Novel Method of Searching the Microarray
Data for
the Best Gene Subsets by Using a Genetic Algorithm. Ni, B. and Liu,
J.
 A Mixed Bayesian Optimization Algorithm with
variance adaptation. Ocenasek, J., Kern, S., Hansen, N.and
Koumoutsakos, P.
 Coupling of Evolution and Learning to Optimize
a
Hierarchical Object Recognition Model. Schneider, G., Wersing, H.,
Sendhoff, B. and Körner, E.
 Using Genetic Programming for Feature Creation
with
a Genetic Algorithm Feature Selector. Smith, M.G. and Bull, L.
 A Simple TwoModule Problem to Exemplify
BuildingBlock Assembly Under Crossover. Watson, R.A.
 Spatial Embedding and Loss of Gradient in
Cooperative Coevolutionary Algorithms. Wiegand, R.P. and Sarma, J.
 IndicatorBased Selection in Multiobjective
Search. Zitzler, E. and Künzli, S.
Poster
Session 4
Chairman: Jon Rowe
 A Simple Payoffbased Learning Classifier
System. Bull, L.
 AntHocNet: an AntBased Hybrid Routing
Algorithm for Mobile Ad Hoc Networks. Di Caro, G., Ducatelle, F.
and Gambardella, L.M.
 A Scatter Search Algorithm for the 3D Image
Registration Problem. Cordón, O., Damas, S. and Santamría, J.
 On the use of a nonredundant encoding for
learning Bayesian networks from data with a GA. Van Dijk, S. and
Thierens, D.
 Comparison of SteadyState and Generational
Evolution Strategies for Parallel Architectures. Enache, R.,
Sendhoff, B. Olhofer, M. and Hasenjäger, M.
 Evolutionary Multiobjective Clustering. Handl,
J. and Knowles, J.
 Designing MultipleUse Primer Set for
Multiplex PCR
by Using Compact Gas. Huang, Y.C., Chuang, H.Y., Tsai, H.K.,
Chang, C.F. and Kao, C.Y.
 SelfOrganizing Neural Grove: Efficient
Multiple Classifier System Using Pruned SelfGenerating Neural Trees. Inoue,
H. and Narihisa, H.
 An Approach to Evolutionary Robotics Using a
Genetic Algorithm with a Variable Mutation Rate Strategy. Katada,
Y., Ohkura, K.and Ueda, K.
 Analyzing Sensor States and Internal States in
the
Tartarus Problem with Tree State Machines. Kim, D.
 Multiobjective Optimisation by Cooperative
Coevolution. Maneeratana, K., Boonlong, K. and Chaiyaratana, N.
 On Test Functions for Evolutionary
MultiObjective Optimization. Okabe, T., Jin, Y., Olhofer, M. and
Sendhoff, B.
 A Visual Demonstration of Convergence
Properties of Cooperative Coevolution. Panait, L., Wiegand, P.R.
and Luke, S.
 Optimization via Parameter Mapping with
Genetic Programming. Pujol, J.C.F. and Poli, R.
 Robust Parallel Genetic Algorithms with
ReInitialisation. Sekaj, I.
 A Powerful New Encoding for TreeBased
Combinatorial Optimisation Problems. Soak, S.M., Corne, D. and
Ahn, B.H.
 Statistical Racing Techniques for Improved
Empirical Evaluation of Evolutionary Algorithms. Yuan, B. and
Gallagher, M.
Poster
Session 5
CoChairs: Dirk Thierens and
Larry Bull
 Lookahead and Latent Learning in a Simple
Accuracybased Classifier System. Bull, L.
 Knowledge Extraction and Problem Structure
Identification in XCS. Butz, M.V., Lanzi, P. L. and Llorŕ, X.
and Goldberg, D.E.
 Web Page Classification with an Ant Colony
Algorithm. Holden, N. and Freitas, A.A.
 Search Space Features Underlying the
Performance of Stochastic Local Search Algorithms for MAXSAT. Hoos,
H.H., Smyth,
K. and Stützle, T.
 Multiobjective Parallel Tabu Search. Jaeggi,
D., AsselinMiller, C., Parks, G., Kipouros, T., Bell, T. and Clarkson,
J.
 An Evolutionary Algorithm for the Maximum
Weight Trace Formulation of the Multiple Sequence Alignment Problem. Koller,
G.
and Raidl, G.R.
 Evolving Dynamics in an Artificial Regulatory
Network Model. Kuo, P.D., Leier, A. and Banzhaf, W.
 A Novel Programmable Molecular Computing
Method Based
on Signaling Pathways Regulated by RhoGTPases in Living MDCK
Epithelial Mammalian Cells. Liu, J.Q. and Shimohara, K.
 Adaptive Weighted Particle Swarm Optimisation
for Multiobjective Optimal Design of Alloy Steels. Mahfouf, M. and
Chen, M.Y. and Linkens, D.A.
 Conference Paper Assignment Using a Combined
Greedy/Evolutionary Algorithm. MereloGuervós, J.J. and
CastilloValdivieso, P.
 Distribution TreeBuilding Realvalued
Evolutionary Algorithm. Povsík, P.
 On the Importance of Information Speed in
Structured Populations. Preuss, M. and Lasarczyk, C.
 Cooperative Coevolution of Image Feature
Construction and Object Detection. Roberts, M.E. and Claridge, E.
 Improving Evolutionary Algorithms with
Multirepresentation Island Models. Skolicki, Z. and De Jong, K.D.
 Evolving the “Feeling” of Time Through
SensoryMotor Coordination: A Robot Based Model. Tuci, E., Trianni,
V. and Dorigo,
M.
 Dynamic Routing Problems with Fruitful
Regions: Models
and Evolutionary Computation. Van Hemert, J.I. and La Poutré, J.A.
 Optimising the Performance of a Formula One
Car using
a Genetic Algorithm. Wloch, K. and Bentley, P.
Poster
Session 6
Chairman:
A. E. Eiben
 Speedingup Pittsburgh Learning Classifier
Systems: Modeling Time and Accuracy. Bacardit, J., Goldberg, D.E.,
Butz, M.V.
and Llorŕ, X. and Garrell, J.M.
 Fitness distributions and GA hardness. Borenstein,
Y. and Poli, R.
 Detecting and Pruning Introns for Faster
Decision Tree Evolution. Eggermont, J., Kok, J.N. and Kosters, W.A.
 Saving Resources with Plagues in Genetic
Algorithms. Fernández de Vega, A F., CantúPaz, E., López, J.I.
and Manzano, T.
 Group Transport of an Object to a Target that
Only Some Group Members May Sense. Gro b , R. and
Dorigo, M.
 A SelfAdaptive Neural Learning Classifier
System with Constructivism for Mobile Robot Control. Hurst, J. and
Bull, L.
 Robust Inferential Sensors based on Ensemble
of Predictors generated by Genetic Programming. Jordaan, E.,
Kordon, A.,
Chiang, L. and Smits, G.
 Evolution of Voronoibased Fuzzy Controllers.
Kavka, C. and Schoenauer, M.
 An Extension of Generalized Differential
Evolution for MultiObjective Optimization with Constraints. Kukkonen,
S. and Lampinen, J.
 Empirical Investigations on Parallelized
Linkage Identification. Munetomo, M., Murao, N. and Akama, K.
 TopologyOriented Design of Analog Circuits
Based on Evolutionary Graph Generation. Natsui, M., Homma, N.,
Aoki, T. and Higuchi, T.
 Evaluation of Adaptive Nature Inspired Task
Allocation Against Alternate Decentralised Multiagent Strategies. Price,
R. and
Tino, P.
 An Evolutionary Algorithm for Column
Generation in
Integer Programming: an Effective Approach for 2D Bin Packing. Puchinger,
J. and Raidl, G.R.
 An Improved Evaluation Function for the
Bandwidth Minimization Problem. RodriguezTello, E., Hao J.K. and
TorresJimenez, J.
 Multicellular Development: Is There
Scalability and Robustness to Gain?. Roggen, D. and Federici, D.
 Phase transition properties of clustered
travelling salesman problem instances generated with evolutionary
computation. Van Hemert, J.I. and Urquhart, N.B.
 Evolutionary Biobjective Controlled Elevator
Group Regulates Passenger Service Level and Minimises Energy
Consumption. Tyni, T. and Ylinen, J.
Poster
Session 7
Chairman: Jose A. Lozano
 Metaheuristics for the Vehicle Routing Problem
with Stochastic Demands. Bianchi, L., Birattari, M., Chiarandini,
M., Manfrin, M., Mastrolilli, M., Paquete, L., RossiDoria, O. and
Schiavinotto, T.
 Finding Knees in Multiobjective Optimization.
Branke, J., Deb, K. Dierolf, H. and Osswald, M.
 Hawks, Doves and Lifetime Reproductive Success.
Hingston, P. and Barone, L.
 Evolutionary Algorithms with onthefly
Population Size Adjustment. Eiben, A.E., Marchiori, E. and Valkó,
V.A.
 Oneric Processing Utilising the Anticipatory
Classifier System. Holley, J.C., Pipe, A.G. and Carse, B.
 Searching Transcriptional Modules Using
Evolutionary Algorithms. Joung, J.G., Oh, S.J. and Zhang, B.T.
 Translating the Dances of Honeybees into
Resource Location. Kim, D.
 A Reduced Markov Model of GAs without the
Exact Transition Matrix. Moey, C.C.J. and Rowe, J.
 The EAX algorithm considering diversity loss.
Nagata, Y.
 A Swarm Intelligence Based VLSI
MultiplicationandAdd Scheme. Pani, D. and Raffo, L.
 Optimising Cancer Chemotherapy Using Particle
Swarm Optimisation and Genetic Algorithms. Petrovski, A., Sudha, B.
and McCall, J.
 Estimating the Number of Solutions for SAT
Problems. Reeves, C.R. and AupetitBélaidouni, M.
 Constrained Evolutionary Optimization by
Approximate Ranking and Surrogate Models. Runarsson, T.P.
 Evolution of SmallWorld Networks of Automata
for Computation. Tomassini, M., Giacobini, M. and Darabos, C.
 Partially Evaluated Genetic Algorithm based on
Fuzzy
cMeans Algorithm. Yoo, S.H. and Cho, S.B.
 AgentP Model: Learning Classifier System with
Associative Perception. Zatuchna, Z.V.
 A High Performance Multiobjective
Evolutionary Algorithm Based on the Principles of Thermodynamics. Zou,
X., Liu, M. and He, J.
Information for Poster Presenters
POSTERS
Please remember that posters are neither papers
nor transparencies,
though they are closer to the latter. Take the necessary time to
prepare
your poster appropriately, and please:
 DO NOT SIMPLY HANG UP A COPY OF YOUR PAPER.
 Use large fonts and magnify your figures and
plots  the poster should be readable from some distance.
 Do not reproduce long sequences of equations or
include a reference section  all attendees will have the proceedings
in hand.
 Remember that you will be there to explain, so
stick to the main issues and results.
BOARDS
The poster boards will be 1.22m (4 feet) wide and
1.83m (6 feet) high. If necessary, there will be room for posters to
hang over the edge of this area. Fixing materials will be provided.
TIMING
You should put up your poster during the coffee or
lunch break BEFORE your session. There is very little time available
between sessions, so it is important that you remove your poster
immediately at the end of your
session (or it will be removed and thrown away for you). If you are not
sure
which session you are in  refer to the conference programme.
INTRODUCTIONS
At the beginning of each session, the Session
Chair will
give a short presentation introducing all the posters in that session.
