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139
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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 7 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
15 years 7 months ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 7 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
143
Voted
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 7 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
123
Voted
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 7 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
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