On-Line Bibliography on Learning Classifier Systems and Genetic Algorithms

Tutorials

[1993-TUT1a] | D. Beasley, D.R. Bull, R.R. Martin | An Overview of Genetic Algorithms (part 1) | TUT1a.ps.gz |

[1993-TUT1b] | D. Beasley, D.R. Bull, R.R. Martin | An Overview of Genetic Algorithms (part 2) | TUT1b.ps.gz |

[1997-TUT2] | S.W. Wilson | Structure and Function of the XCS Classifier System | TUT2.pdf.zip |

[1997-TUT3] | P.L. Lanzi | Introduzione alla Computazione Evolutiva | TUT3.pdf.zip |

[1997-TUT4] | P.L. Lanzi | Introduzione ai Sistemi Classificatori | TUT4.pdf.zip |

[1998-TUT5] | C.J.C. Burges | A Tutorial on Support Vector Machines for Pattern Recognition | TUT5.pdf.zip |

[1999-FAQ] | J. Heitkoetter | The Hitch-Hiker's Guide to Evolutionary Computation (FAQ for comp.ai.genetic) | FAQ.doc.zip |

Learning Classifier Systems

[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 |

Genetic Algorithms, Machine Learning and Artificial Life

[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 |

Financial Markets, Technical Analysis and Econophisic

[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 |