Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Classifiers that approximate functions
Natural Computing: an international journal
Classifier Systems and the Animat Problem
Machine Learning
Machine Learning
Learning with Genetic Algorithms: An Overview
Machine Learning
Knowledge Growth in an Artificial Animal
Proceedings of the 1st International Conference on Genetic Algorithms
Properties of the Bucket Brigade
Proceedings of the 1st International Conference on Genetic Algorithms
A New Approach to Fuzzy Classifier Systems
Proceedings of the 5th International Conference on Genetic Algorithms
A Modified Classifier System Compaction Algorithm
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
For real! XCS with continuous-valued inputs
Evolutionary Computation
Applications of Learning Classifier Systems
Applications of Learning Classifier Systems
Multi-objective rule mining using genetic algorithms
Information Sciences: an International Journal - Special issue: Soft computing data mining
On Classifier Domains of Competence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
A comprehensive survey of fitness approximation in evolutionary computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection
Genetic Programming and Evolvable Machines
Extending XCSF beyond linear approximation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Coordination number prediction using learning classifier systems: performance and interpretability
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Smart crossover operator with multiple parents for a Pittsburgh learning classifier system
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Classifier prediction based on tile coding
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Fast rule matching for learning classifier systems via vector instructions
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Bounding XCS's parameters for unbalanced datasets
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
Automated global structure extraction for effective local building block processing in XCS
Evolutionary Computation
International Journal of Approximate Reasoning
Genetic Programming and Evolvable Machines
On lookahead and latent learning in simple LCS
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
An approach to analyze the evolution of symbolic conditions in learning classifier systems
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Bayesian estimation of rule accuracy in UCS
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
UCSpv: principled voting in UCS rule populations
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Support vector regression for classifier prediction
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Classifier systems that compute action mappings
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Modeling XCS in class imbalances: population size and parameter settings
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Modeling selection pressure in XCS for proportionate and tournament selection
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Zcs: A zeroth level classifier system
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
An analysis of generalization in the xcs classifier system
Evolutionary Computation
Substructural Surrogates for Learning Decomposable Classification Problems
Learning Classifier Systems
Observer-invariant histopathology using genetics-based machine learning
Natural Computing: an international journal
Flexible learning of problem solving heuristics through adaptive search
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
Learning concept classification rules using genetic algorithms
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning
IEEE Transactions on Evolutionary Computation
Bounding the population size in XCS to ensure reproductive opportunities
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Data mining in learning classifier systems: comparing XCS with GAssist
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Improving the performance of a pittsburgh learning classifier system using a default rule
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Toward a theory of generalization and learning in XCS
IEEE Transactions on Evolutionary Computation
Domain of competence of XCS classifier system in complexity measurement space
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
Learning Classifier System Ensembles With Rule-Sharing
IEEE Transactions on Evolutionary Computation
Fuzzy-XCS: A Michigan Genetic Fuzzy System
IEEE Transactions on Fuzzy Systems
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Over the recent years, research on Learning Classifier Systems (LCSs) got more and more pronounced and diverse. There have been significant advances of the LCS field on various fronts including system understanding, representations, computational models, and successful applications. In comparison to other machine learning techniques, the advantages of LCSs have become more pronounced: (1) rule-comprehensibility and thus knowledge extraction is straightforward; (2) online learning is possible; (3) local minima are avoided due to the evolutionary learning component; (4) distributed solution representations evolve; or (5) larger problem domains can be handled. After the tenth edition of the International Workshop on LCSs, more than ever before, we are looking towards an exciting future. More diverse and challenging applications, efficiency enhancements, studies of dynamical systems, and applications to cognitive control approaches appear imminent. The aim of this paper is to provide a look back at the LCS field, whereby we place our emphasis on the recent advances. Moreover, we take a glimpse ahead by discussing future challenges and opportunities for successful system applications in various domains.