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CEC
2008
IEEE
15 years 11 months 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 10 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 8 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
IPMI
2005
Springer
16 years 5 months ago
A Genetic Algorithm for the Topology Correction of Cortical Surfaces
We propose a technique to accurately correct the spherical topology of cortical surfaces. We construct a mapping from the original surface onto the sphere to detect topological def...
Florent Ségonne, W. Eric L. Grimson, Bruce ...
CORR
2008
Springer
63views Education» more  CORR 2008»
15 years 4 months ago
Two Remarkable Computational Competencies of the Simple Genetic Algorithm
Since the inception of genetic algorithmics the identification of computational efficiencies of the simple genetic algorithm (SGA) has been an important goal. In this paper we dist...
Keki M. Burjorjee