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» Tightness Time for the Linkage Learning Genetic Algorithm
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GECCO
2003
Springer
14 years 2 months ago
Tightness Time for the Linkage Learning Genetic Algorithm
Abstract. This paper develops a model for tightness time, linkage learning time for a single building block, in the linkage learning genetic algorithm (LLGA). First, the existing m...
Ying-Ping Chen, David E. Goldberg
GECCO
2003
Springer
14 years 2 months ago
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage
Ensuring building-block (BB) mixing is critical to the success of genetic and evolutionary algorithms. This study develops facetwise models to predict the BB mixing time and the po...
Kumara Sastry, David E. Goldberg
GECCO
2004
Springer
14 years 3 months ago
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
Ying-Ping Chen, David E. Goldberg
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 3 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
RECOMB
2003
Springer
14 years 10 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson