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» Short Term Unit-Commitment Using Genetic Algorithms
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GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...
GECCO
2010
Springer
163views Optimization» more  GECCO 2010»
13 years 11 months ago
Factors affecting the use of genetic algorithms in test suite augmentation
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
Zhihong Xu, Myra B. Cohen, Gregg Rothermel
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 11 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang