Classifier systems and genetic algorithms
Artificial Intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Adaptation in dynamic environments through a minimal probability of exploration
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
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
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Classifier fitness based on accuracy
Evolutionary Computation
An analysis of generalization in the xcs classifier system
Evolutionary Computation
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Learning concept classification rules using genetic algorithms
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection
Genetic Programming and Evolvable Machines
Extracted global structure makes local building block processing effective in XCS
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
Automated global structure extraction for effective local building block processing in XCS
Evolutionary Computation
Data mining with a simulated annealing based fuzzy classification system
Pattern Recognition
Data mining with a simulated annealing based fuzzy classification system
Pattern Recognition
Coevolutionary bid-based genetic programming for problem decomposition in classification
Genetic Programming and Evolvable Machines
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Bounding the population size in XCS to ensure reproductive opportunities
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Effect of pure error-based fitness in XCS
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Data mining in learning classifier systems: comparing XCS with GAssist
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Adaption of XCS to multi-learner predator/prey scenarios
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Random artificial incorporation of noise in a learning classifier system environment
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Self-adaptation of learning rate in XCS working in noisy and dynamic environments
Computers in Human Behavior
Self-adaptation of parameters in a learning classifier system ensemble machine
International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
An evolutionary function approximation approach to compute prediction in XCSF
ECML'05 Proceedings of the 16th European conference on Machine Learning
Preference-Based CBR: first steps toward a methodological framework
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Enhancing learning capabilities by XCS with best action mapping
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
XCS with adaptive action mapping
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
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Although it is known from GA literature that proportionate selection is subject to many pitfalls, the LCS community somewhat adhered to proportionate selection. Also in the accuracy-based learning classifier system XCS, introduced by Wilson in 1995, proportionate selection is used. This paper identifies problem properties in which performance of proportionate selection is impaired. Consequently, tournament selection is introduced which makes XCS more parameter independent, noise independent, and more efficient in exploiting fitness guidance.