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» Potential fitness for genetic programming
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AI
2006
Springer
13 years 7 months ago
Backward-chaining evolutionary algorithms
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
Riccardo Poli, William B. Langdon
AUSAI
2010
Springer
13 years 5 months ago
Evolutionary Non Photo-Realistic Animations with Triangular Brushstrokes
Abstract. We have developed a method for generating non photorealistic animations of a target image. The animations start as a random collection of triangular strokes on a canvas a...
Ashkan Izadi, Victor Ciesielski, Marsha Berry
PRICAI
2004
Springer
14 years 1 months ago
Computational Methods for Identification of Human microRNA Precursors
MicroRNA (miRNA), one of non-coding RNAs (ncRNAs), regulates gene expression directly by arresting the messenger RNA (mRNA) translation, which is important for identifying putative...
Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang
JDCTA
2010
159views more  JDCTA 2010»
13 years 2 months ago
QSPR Study Of Mineral Crystal Lattice Energy Based On Gene Expression Programming
In this study, gene expression programming (GEP), a novel genetic algorithm, is used to develop quantitative model as potential screening mechanism for mineral crystal lattice ene...
Yuntao Zhang, Wenbin Dai, Zhengjun Cheng
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer