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» On the practical genetic algorithms
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DATESO
2010
150views Database» more  DATESO 2010»
15 years 4 months ago
Evolving Quasigroups by Genetic Algorithms
Abstract. Quasigroups are a well-known combinatorial design equivalent to more familiar Latin squares. Because all possible elements of a quasigroup occur with equal probability, i...
Václav Snásel, Jiri Dvorský, ...
JDCTA
2010
148views more  JDCTA 2010»
15 years 1 months ago
Application Research on Optimal Path Based on Genetic Algorithm
At present, China's automobile logistics cost accounts for more than 20% of the production of motor vehicles. Therefore, lowering logistics cost by seeking its best path is a...
Lilin Fan, Huili Meng
CEC
2008
IEEE
16 years 24 days ago
Geometric PSO + GP = Particle Swarm Programming
—Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both conti...
Julian Togelius, Renzo De Nardi, Alberto Moraglio
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 12 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
15 years 10 months ago
Behavioural GP diversity for dynamic environments: an application in hedge fund investment
We present a new mechanism for preserving phenotypic behavioural diversity in a Genetic Programming application for hedge fund portfolio optimization, and provide experimental res...
Wei Yan, Christopher D. Clack