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» Initial Population for Genetic Algorithms: A Metric Approach
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JACIII
2007
103views more  JACIII 2007»
13 years 7 months ago
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms
In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in particular, the effect of adapting the migration rates on the performance and so...
Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-H...
FUZZIEEE
2007
IEEE
14 years 1 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 26 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi