On-Line Bibliography on Learning Classifier Systems and Genetic Algorithms


[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

Maintained by Andrea Murru
Università di Cagliari
last modified