Graph-Theoretic Measure for Active iGAs: Interaction Sizing and Parallel Evaluation Ensemble
Llorà, X., Yasui, N. I., Goldberg, D. E. (2008)TR No.: 2008003 | Download PDF | Download PS
Abstract: Since their inception, active interactive genetic algorithms have successfully combat user evaluation fatigue induced by repetitive evaluation. Their success originates on building models of the user preferences based on partial-order graphs to create a numeric synthetic fitness. Active interactive genetic algorithms can easily reduce up to seven times the number of evaluations required from the […]
Posted: March 10th, 2008 under interactive genetic algorithms. Comments: none
Improving Small Population Performance under Noise with Viral Infection + Tropism
Sato, Y., Goldberg, D. E., Sastry, K. (2008)TR No.: 2008002 | Download PDF | Download PS
Abstract: In this paper we report on the effect of viral infection with tropism on the formation of building blocks in genetic operations. In previous research, we applied genetic algorithms to the analysis of time-series signals with noise. We demonstrated the possibility of reducing the number of required entities and improving the rate of convergence […]
Posted: February 21st, 2008 under Genetic algorithms. Comments: none
Classifier Conditions Using Gene Expression Programming
Wilson, S. W. (2008)TR No.: 2008001 | Download PDF | Download PS
Abstract:The classifier system XCSF was modified to use gene expression programming for the evolution and functioning of the classifier conditions. The aim was to fit environmental regularities better than is typically possible with conventional rectilinear conditions. An initial experiment approximating a nonlinear oblique environment showed excellent fit to the regularities.
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Posted: February 4th, 2008 under Learning Classifier Systems. Comments: none
Discovering Building Blocks for Human Based Genetic Algorithms
Ueda, T., Yasui, N. I., Llorà, X., Sastry, K. Goldberg, D. E. (2008)TR No.: 2007020 | Download PDF | Download PS
The push for rapid innovation and creativity in this Internet age places a premium on eective integration of both human and computer-generated knowledge. One of the key components of a distributed and scalable environment for accomplishing this integration called DISCUS is the human-based genetic algorithm (HBGA)–a GA where humans perform genetic operations. This paper takes […]
Posted: February 4th, 2008 under Genetic algorithms. Comments: none