Sciweavers

Share
6 search results - page 1 / 2
» Discrete dynamical genetic programming in XCS
Sort
View
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
10 years 10 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
10 years 10 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
10 years 8 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
10 years 8 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
KES
2005
Springer
10 years 9 months ago
Optimal Remediation Design in Groundwater Systems by Intelligent Techniques
Abstract. This research develops an optimal planning model for pump-treatinject based groundwater remediation systems. Optimizing the design of the pump-treat-inject system is a no...
Hone-Jay Chu, Chin-Tsai Hsiao, Liang-Cheng Chang
books