A neural learning classifier system with self-adaptive constructivism
(2003)
Presentation / Conference
Bull, L., & Hurst, J. (2003, June). A neural learning classifier system with self-adaptive constructivism. Paper presented at The 2003 Congress on Evolutionary Computation
Outputs (12)
A note on crossover with interval representations (2003)
Report
Stone, C., & Bull, L. (2003). A note on crossover with interval representations
Genetic algorithm and linear programing to solve a lot-sizing and scheduling problem (2003)
Presentation / Conference
Staggemeier, A. T., Clark, A., Smith, J., & Bull, L. (2003, April). Genetic algorithm and linear programing to solve a lot-sizing and scheduling problem. Paper presented at Proceedings of the 6th Biannual Model and Algorithms to Production and Scheduling Problems 2003, Aussois, France
Investigating fitness sharing in a simple payoff-based learning classifier system (2003)
Report
Bull, L. (2003). Investigating fitness sharing in a simple payoff-based learning classifier system
A simple accuracy-based learning classifier system (2003)
Report
Bull, L. (2003). A simple accuracy-based learning classifier system
Lookahead and latent learning in a neural learning classifier system with self-adaptive constructivism (2003)
Report
Bull, L., & Hurst, J. (2003). Lookahead and latent learning in a neural learning classifier system with self-adaptive constructivism
On simplifying the payoff prediction in accuracy-based learning classifier system (2003)
Report
Bull, L., & Wyatt, D. (2003). On simplifying the payoff prediction in accuracy-based learning classifier system
Robotic experimentation using constructivism within a neural learning classifier system (2003)
Report
Hurst, J., & Bull, L. (2003). Robotic experimentation using constructivism within a neural learning classifier system
Feature construction and selection using genetic programming and a genetic algorithm (2003)
Journal Article
Smith, M. G., & Bull, L. (2003). Feature construction and selection using genetic programming and a genetic algorithm. Lecture Notes in Artificial Intelligence, 2610, 229-237. https://doi.org/10.1007/3-540-36599-0_21The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming and a Genetic Algorithm to pre-process data before it is classified usin... Read More about Feature construction and selection using genetic programming and a genetic algorithm.
Comparing learning classifier systems for continuous-valued online environments (2003)
Journal Article
Stone, C., & Bull, L. (2003). Comparing learning classifier systems for continuous-valued online environmentsWe investigate Learning Classifier Systems for online environments that consist of real-valued states and which require every action made by the agent to count towards its performance. Two Learning Classifier System architectures are considered, ZCS... Read More about Comparing learning classifier systems for continuous-valued online environments.
For Real! XCS with Continuous-Valued Inputs (2003)
Journal Article
Stone, C., & Bull, L. (2003). For Real! XCS with Continuous-Valued Inputs. Evolutionary Computation, 11(3), 299-336. https://doi.org/10.1162/106365603322365315Many real-world problems are not conveniently expressed using the ternary representation typically used by Learning Classifier Systems and for such problems an interval-based representation is preferable. We analyse two interval-based representations... Read More about For Real! XCS with Continuous-Valued Inputs.
Towards learning classifier systems for continuous-valued online environments (2003)
Book Chapter
Stone, C., & Bull, L. (2003). Towards learning classifier systems for continuous-valued online environments. In E. Cantu-Paz (Ed.), GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: Part II (209-209). Springer