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» The Evolution of Optimality: De Novo Programming
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HAIS
2009
Springer
13 years 10 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
ICMLA
2007
13 years 6 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
EUROGP
2008
Springer
13 years 7 months ago
Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution
Many automatically-synthesized programs have, like their hand-made counterparts, numerical parameters that need to be set properly before they can show an acceptable performance. H...
Marco Antonio Montes de Oca
BMCBI
2010
183views more  BMCBI 2010»
13 years 5 months ago
SOPRA: Scaffolding algorithm for paired reads via statistical optimization
Background: High throughput sequencing (HTS) platforms produce gigabases of short read (<100 bp) data per run. While these short reads are adequate for resequencing application...
Adel Dayarian, Todd P. Michael, Anirvan M. Sengupt...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 6 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou