| [1989-LCS1] |
S.W. Wilson, D.E. Goldberg |
A Critical Review of Classifier Systems |
LCS1.pdf.zip |
| [1992-LCS2] |
D.E. Goldberg, J. Horn, K. Deb |
What Makes a Problem Hard for a Classifier System? |
LCS2.pdf.zip |
| [1992-LCS3] |
R.E. Smith |
A Report on the First International Workshop on Learning Classifier Systems |
LCS3.pdf.zip |
| [1994-LCS4] |
S.W. Wilson |
ZCS: A Zeroth Level Classifier System |
LCS4.pdf.zip |
| [1994-LCS5] |
B. De Boer |
Classifier Systems : a useful approach to machine learning? |
LCS5.pdf.zip |
| [1994-LCS6] |
D.E. Goldberg, J. Horn, K. Deb |
Implicit Niching in a Learning Classifier System : Nature's Way |
LCS6.pdf.zip |
| [1995-LCS7] |
D. Cliff, S. Ross |
Adding Temporary Memory to ZCS |
LCS7.pdf.zip |
| [1995-LCS8] |
S.W. Wilson |
Classifier Fitness Based on Accuracy |
LCS8.pdf.zip |
| [1995-LCS9] |
J.R. Wilcox |
Organizational Learning within a Learning Classifier System |
LCS9.pdf.zip |
| [1996-LCS10] |
T. Kovacs |
Evolving Optimal Populations with XCS |
LCS10.pdf.zip |
| [1996-LCS12] |
J. Horn, D.E. Goldberg |
Natural Niching for Evolving Cooperative Classifiers |
LCS12.pdf.zip |
| [1996-LCS13] |
W. Stolzmann |
Learning Classifier Systems using the Cognitive Mechanism of Anticipatory Behavioral Control |
LCS13.ps.zip |
| [1997-LCS14] |
P.L. Lanzi |
A Model of the Environment to Avoid Local Learning with XCS in Animat Problems |
LCS14.pdf.zip |
| [1997-LCS15] |
J.H. Holmes |
Discovering Risk of Disease with a Learning Classifier System |
LCS15.pdf.zip |
| [1997-LCS16] |
K.D. Bollacker, J. Ghosh |
Knowledge Reuse in Multiple Classifier Systems |
LCS16.pdf.zip |
| [1997-LCS17] |
T. Kovacs |
XCS Reliably Evolves Accurate, Complete and Minimal Representations for Boolean Functions |
LCS17.ps.zip |
| [1997-LCS18] |
P.L. Lanzi |
A Study of the Generalization Capabilities of XCS |
LCS18.pdf.zip |
| [1997-LCS19] |
P.L. Lanzi |
Solving Problems in Partially Observable Environments with Classifier Systems |
LCS19.pdf.zip |
| [1998-LCS20] |
P.L. Lanzi |
An Analysis of the Memory Mechanism of XCSM |
LCS20.pdf.zip |
| [1998-LCS21] |
P.L. Lanzi |
Adding Memory to XCS |
LCS21.pdf.zip |
| [1998-LCS22] |
J.H. Holmes |
Differential Negative Reinforcement Improves Classifier System Learning Rate in Two-Class Problems with Unequal Base Rates |
LCS22.ps.zip |
| [1998-LCS23] |
S.W. Wilson |
Generalization in XCS |
LCS23.pdf.zip |
| [1998-LCS24] |
W. Stolzmann |
Anticipatory Classifier Systems |
LCS24.ps.zip |
| [1999-LCS25] |
A. Tomlinson, L. Bull |
A Zeroth Level Corporate Classifier System |
LCS25.pdf.zip |
| [1999-LCS26] |
A. Tomlinson, L. Bull |
A Corporate XCS |
LCS26.pdf.zip |
| [1999-LCS27] |
S.W. Wilson |
Classifier System Mapping of Real Vectors |
LCS27.pdf.zip |
| [1999-LCS28] |
A. Bonarini, C. Bonacina, M. Matteucci |
Fuzzy and Crisp Representations of Real-Valued Input for Learning Classifier Systems |
LCS28.pdf.zip |
| [1999-LCS29] |
C. Lattaud |
Non-Homogeneous Classifier Systems in a Macro-Evolution Process |
LCS29.pdf.zip |
| [1999-LCS30] |
P.L. Lanzi, S.W. Wilson |
Optimal Classifier System Performance in Non-Markov Environments |
LCS30.pdf.zip |
| [1999-LCS31] |
P.L. Lanzi |
Extending the Representation of Classifier Conditions Part I: From Binary to Messy Coding |
LCS31.pdf.zip |
| [1999-LCS32] |
P.L. Lanzi, A. Perrucci |
Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions |
LCS32.pdf.zip |
| [1999-LCS33] |
P.L. Lanzi, M. Colombetti |
An Extension to the XCS Classifier System for Stochastic Environments |
LCS33.pdf.zip |
| [1999-LCS34] |
J.H. Holmes |
Quantitative Methods for Evaluating Learning Classifier System Performance in Forced Two-Choice Decision Tasks |
LCS34.pdf.zip |
| [1999-LCS35] |
T. Kovacs |
Strength or Accuracy? A Comparison of Two Approaches to Fitness Calculation in Learning Classifier Systems |
LCS35.pdf.zip |
| [1999-LCS36] |
S.W. Wilson |
Get Real! XCS with Continuous-Valued Inputs |
LCS36.pdf.zip |
| [1999-LCS37] |
W. Stolzmann |
Latent Learning in Khepera Robots with Anticipatory Classifier Systems |
LCS37.ps.zip |
| [1999-LCS38] |
W. Stolzmann, M. Butz |
Action-Planning in Anticipatory Classifier Systems |
LCS38.ps.gz |
| [1999-LCS39] |
S. Saxon, A. Barry |
XCS and Monk's Problem |
LCS39.ps.gz |
| [1999-LCS40] |
R.E. Smith, B.A. Dike, B. Ravichandran, A. El-Fallah, R.K. Mehra |
The Fighter Aircraft LCS : a Case of Different LCS Goals and Techniques |
LCS40.ps.gz |
| [1999-LCS41] |
L.B. Booker |
Do We Really Need to Estimate Rules Utilities in Classifier Systems? |
LCS41.ps.gz |
| [1999-LCS42] |
S.W. Wilson |
State of XCS Classifier System Research |
LCS42.pdf.zip |
| [1999-LCS43] |
M. Butz |
An Implementation of the XCS Classifier System in C |
LCS43.pdf.zip |
| [1990-ML1] |
J.J. Grefenstette, C. Loggia Ramsey, A.C. Schultz |
Learning Sequential Decision Rules Using Simulation Models and Competition |
ML1.ps.z |
| [1991-GA1] |
W.M. Spears, D.F. Gordon |
Adaptive Strategy Selection for Concept Learning |
GA1.pdf.zip |
| [1991-GA1b] |
W.M. Spears, K.A. De Jong |
Learning Concept Classification Rules Using Genetic Algorithms |
GA1b.ps.gz |
| [1992-ML2] |
W.M. Spears, K.A. De Jong |
Using Genetic Algorithms for Supervised Concept Learning |
ML2.ps.gz |
| [1993-GA2] |
W.F. Punch, E.D. Goodman, L. Chia-Shun, P. Hovland, R. Enbody |
Further Reserach on Feature Selection and Classification Using Genetic Algorithms |
GA2.pdf.zip |
| [1993-GA3] |
M. Mitchell, S. Forrest |
Genetic Algorithms and Artificial Life |
GA3.ps.zip |
| [1993-GA4] |
H. Vafaie, K.A. De Jong |
Improving a Rule Induction System Using Genetic Algorithms |
GA4.pdf.zip |
| [1993-GA5] |
M. Mitchell, S. Forrest, J.H. Holland |
The Royal Road for Genetic Algorithms : Fitness Landscapes and GA Performances |
GA5.pdf.zip |
| [1993-GA6] |
M. Mitchell, S. Forrest |
What Makes a Problem Hard for a Genetic Algorithm ? Some Anomalous Results and Their Explanation |
GA6.pdf.zip |
| [1994-GA7] |
M.A. Potter, K.A. De Jong |
A Cooperative Coevolutionary Approach to Function Optimization |
GA7.pdf.zip |
| [1994-GA8] |
J.J. Grefenstette, A.C. Schultz |
An Evolutionary Approach to Learning in Robots |
GA8.pdf.zip |
| [1994-GA9] |
K. Thearling, T.S. Ray |
Evolving Multi-cellular Artificial Life |
GA9.pdf.zip |
| [1994-GA10] |
M. Mitchell, S. Forrest |
Fitness Landscapes : Royal Road Functions |
GA10.ps.zip |
| [1994-GA11] |
M. Mitchell, S. Forrest, J.H. Holland |
When will a Genetic Algorithm Outperform Hill Climbing ? |
GA11.ps.zip |
| [1995-GA12] |
M.A. Potter, K.A. De Jong, J.J. Grefenstette |
A Coevolutionary Approach to Learning Sequential Decision Rules |
GA12.pdf.zip |
| [1995-GA13] |
S.W. Mahfoud |
A Comparison of Parallel and Sequenzial Niching Methods |
GA13.pdf.zip |
| [1995-GA14] |
M. Pei, Y. Ding, W.F. Punch, E.D. Goodman |
Classification and Feature Extraction of High-Dimensionality Binary Patterns using a GA to Evolve Rule |
GA14.pdf.zip |
| [1995-GA15] |
M.A. Potter, K.A. De Jong |
Evolving Complex Structures via Cooperative Coevolution |
GA15.pdf.zip |
| [1995-GA16] |
J. Bala, J. Huang, H. Vafaie, K.A. De Jong, H. Wechsler |
Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification |
GA16.pdf.zip |
| [1995-ML3] |
D.B. Skalak |
Prototype Selection for Composite Nearest Neighbor Classifiers |
ML3.pdf.zip |
| [1996-GA17] |
G.R. Harik, D.E. Goldberg |
Learning Linkage |
GA17.pdf.zip |
| [1996-AL1] |
I. Wright |
Reinforcement Learning and Animat Emotions |
AL1.pdf.zip |
| [1997-GA18] |
D.E. Goldberg, L. Wang |
Adaptive Niching via Coevolutionary Sharing |
GA18.pdf.zip |
| [1997-GA19] |
G.R. Harik |
Learning Gene Linkage to Efficiently Solve Problems of Bounded Difficulty Using Genetic Algorithms |
GA19.pdf.zip |
| [1997-GA20] |
M. Pei, E.D. Goodman, W.F. Punch |
Pattern Discovery from Data Uing Genetic Algorithms |
GA20.pdf.zip |
| [1997-GA21] |
G.R. Harik, F.G. Lobo, D.E. Goldberg |
The Compact Genetic Algorithm |
GA21.pdf.zip |
| [1997-GA22] |
M.A. Potter |
The Design and Analysis of a Computational Model of Cooperative Coevolution |
GA22.pdf.zip |
| [1997-GA23] |
J. Horn |
The Nature of Niching : Genetic Algorithms and the Evolution of Optimal, Cooperative Populations |
GA23.pdf.zip |
| [1998-GA24] |
D.E. Goldberg |
A Meditation on the Application of Genetic Algorithms |
GA24.pdf.zip |
| [1998-GA25] |
A. Kuri |
An Alternative Model of Genetic Algorithms as Learning Machines |
GA25.pdf.zip |
| [1998-GA26] |
F.G. Lobo, K. Deb, D.E. Goldberg, G.R. Harik, L. Wang |
Compressed Introns in a Linkage Learning Genetic Algorithm |
GA26.pdf.zip |
| [1998-GA27] |
J.H. Miller, C. Butts, D. Rode |
Comunication and Cooperation |
GA27.pdf.zip |
| [1998-GA28] |
E. Cantù-Paz |
Designing Scalable Multi-Population Parallel Genetic Algorithm |
GA28.pdf.zip |
| [1998-GA29] |
F.G. Lobo, G.R. Harik, D.E. Goldberg |
Linkage Learning Genetic Algorithm in C++ |
GA29.pdf.zip |
| [1998-AL2] |
E. Bonabeau, G. Theraulaz, F. Cogne |
The Design of Complex Architectures by Simple Agents |
AL2.pdf.zip |
| [1998-GA30] |
D.E. Goldberg |
The Design of Innovation : Lessons from Genetic Algorithms, Lessons for the Real World |
GA30.pdf.zip |
| [1999-GA31] |
F.G. Lobo, G.R. Harik |
A Parameter-Less Genetic Algorithm |
GA31.pdf.zip |
| [1999-GA32] |
E. Cantù-Paz |
Designing Efficient and Accurate Parallel Genetic Algorithm |
GA32.pdf.zip |
| [1999-GA33] |
F.G. Lobo, G.R. Harik |
Extended Compact Genetic Algorithm in C++ |
GA33.pdf.zip |
| [1999-GA34] |
D.E. Goldberg |
Genetic and Evolutionary Algorithms in the Real World |
GA34.pdf.zip |
| [1999-GA35] |
S. Geisendorf |
Genetic Algorithms in Resource Economic Models : A Way to Model Bounded Rationality in Resource Exploitation? |
GA35.pdf.zip |
| [1999-ML4] |
G. Harik |
Linkage Learning via Probabilistic Modeling in the ECGA |
ML4.pdf.zip |
| [1999-GA36] |
M. Pelikan, F.G. Lobo |
Parameter-Less Genetic Algorithm : a Wrost-Case Time and Space Complexity Analisys |
GA36.pdf.zip |
| [1999-GA37] |
D.E. Goldberg |
Using Time Efficiently : Genetic Evolutionary Algorithm and the Continuation Problem |
GA37.pdf.zip |
| [1993-EC01] |
M.M. Dacorogna |
The Main Ingredients of Simple Trading Models for Use in Genetic Algorithm Optimization |
EC01.pdf.zip |
| [1993-EC01b] |
N.A. Gershenfeld, A.S. Weigend |
The Future of Time Series |
EC01b.pdf.zip |
| [1995-EC01c] |
A.S. Weigend, M. Mangeas, A.N. Srivastava |
Nonlinear Gated Experts for Time Series: Discovering Regimes and Avoiding Overfitting |
EC01c.pdf.zip |
| [1996-EC02] |
W.B. Arthur, J.H. Holland, B. LeBaron, R. Palmer, P. Tayler |
Asset Pricing Under Endogenous Expectation in an Artificial Stock Market |
EC02.pdf.zip |
| [1996-EC03a] |
C. Lee Giles, S. Lawrence, A.C. Tsoi |
Noisy Time Series Prediction using Symbolic Representation and Recurrent Neural Network Grammatical Inference |
EC03a.pdf.zip |
| [1997-EC03b] |
C. Lee Giles, S. Lawrence, A.C. Tsoi |
Rule Inference for Financial Prediction using Recurrent Neural Networks |
EC03b.pdf.zip |
| [1997-EC03c] |
Y. Liu, P. Cizeau, M. Meyer, C.K. Peng, H.E. Stanley |
Correlations in Economic Time Series |
EC03c.pdf.zip |
| [1997-EC03d] |
R. Sullivan, A. Timmermann |
Data Snooping, Technical Trading Rule Performance and the Bootstrap |
EC03d.pdf.zip |
| [1997-EC03e] |
A.S. Weigend, H.G. Zimmermann |
Exploiting Local Relations as Soft Constraints to Improve Foreceasting |
EC03e.pdf.zip |
| [1997-EC03f] |
A.S. Weigend, J. Timmer |
Modeling Volatility Using State Space Model |
EC03f.pdf.zip |
| [1997-EC03] |
C.J. Neely, P.A. Weller |
Technical Trading Rules in European Monetary System |
EC03.pdf.zip |
| [1998-EC04] |
Y. Bengio |
Using a Financial Training Criterion Rather than a Prediction Criterion |
EC04.pdf.zip |
| [1998-EC05] |
S. Joshi, M.A. Bedan |
An Explanation of Genetic Behavior in an Evolving Financial Market |
EC05.pdf.zip |
| [1998-EC06] |
J.D. Farmer |
Market Force, Ecology and Evolution |
EC06.pdf.zip |
| [1998-EC07] |
M. Marchesi, S. Focardi |
Self-organisation in opinion aggregation models |
EC07.doc.zip |
| [1998-EC07b] |
L.E. Blume, D. Easley |
Optimality and Natural Selection in Markets |
EC07b.pdf.zip |
| [1998-EC07c] |
S. Joshi, J. Parker, M. Bedau |
Technical Trading Rules Creates a Prisoner's Dilemma: Results from an Agent-Based Model |
EC07c.pdf.zip |
| [1998-EC07d] |
R. Dorsey, R. Sexton |
The Use of Parsimonious Neural Networks for Forecasting Financial Time Series |
EC07d.pdf.zip |
| [1998-EC07e] |
A.S. Weigend, S. Shi |
Predicting Daily Probability Distributions of S & P 500 Returns |
EC07e.pdf.zip |
| [1999-EC08] |
J.D. Farmer, A.W. Lo |
Frontiers of Finance: Evolution and Efficient Markets |
EC08.pdf.zip |
| [1999-EC09] |
M. Marchesi, S. Cincotti, S. Focardi |
Self-organized Criticality and Market Crashes |
EC09.doc.zip |
| [1999-EC10] |
G. Iori |
A Microsimulation of Traders Activity in the Stock Market:
the role of heterogeneity, agents' interactions and trade frictions. |
EC10.pdf.zip |
| [1999-EC11] |
R. Cont, J.P. Bouchaud |
Herd Behavior and Aggregate Fluctuations in Financial Markets |
EC11.pdf.zip |
| [1999-EC12] |
F. Fernandez-Rodriguez, S. Sosvilla-Rivero, J. Andrada-Felix |
Technical Analysis in the Madrid Stock Exchange |
EC12.pdf.zip |
| [1999-EC12b] |
F. Fernandez-Rodriguez, S. Sosvilla-Rivero, C. Gonzalez-Martel |
On the Profitability of the Technical Trading Rules Based on Artificial Neural Networks: Evidence on Madrid Stock Market |
EC12b.pdf.zip |
| [1999-EC13] |
F. Slanina |
On the Possibility of Optimal Investment |
EC13.pdf.zip |
| [1999-EC14] |
C.J. Neely, P.A. Weller |
Intraday Technical Trading in the Foreign Exchange Market |
EC14.pdf.zip |
| [1999-EC15] |
C.J. Neely |
Using Genetic Algorithms to Find Technical Trading Rules: a Comment on Risk Adjustement |
EC15.pdf.zip |
| [1999-EC16] |
F. Lillo, R.N. Mantegna |
Statistical Properties of Statistical Ensembles of Stock Returns |
EC16.pdf.zip |
| [1999-EC17] |
J.V. Andersen, S.G. Gluzman, D. Sornette |
Fundamental Framework for Tehnical Analysis |
EC17.pdf.zip |
| [1999-EC18] |
M. Howard |
The Evolution of Trading Rules in an Artificial Stock Market |
EC18.doc.zip |
| [1999-EC19] |
S. Drozdz, F. Grummer, F. Ruf, J. Speth |
Dynamics of Competition between Collectivity and Noise in the Stock Market |
EC19.pdf.zip |
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