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CIMCA
2005
IEEE
14 years 2 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
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
2004
Springer
126views Optimization» more  GECCO 2004»
14 years 2 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit
GECCO
2004
Springer
14 years 2 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
RECOMB
2000
Springer
14 years 19 days ago
A compression algorithm for DNA sequences and its applications in genome comparison
We present a lossless compression algorithm, GenCompress, for genetic sequences, based on searching for approximate repeats. Our algorithm achieves the best compression ratios for...
Xin Chen, Sam Kwong, Ming Li