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» Short Term Unit-Commitment Using Genetic Algorithms
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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 1 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 1 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic programming for human oral bioavailability of drugs
Automatically assessing the value of bioavailability from the chemical structure of a molecule is a very important issue in biomedicine and pharmacology. In this paper, we present...
Francesco Archetti, Stefano Lanzeni, Enza Messina,...
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule