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IAJIT
2010
94views more  IAJIT 2010»
13 years 7 months ago
Multiple Warehouses Scheduling Using Steady State. Genetic Algorithms
: Warehouses scheduling is the problem of sequencing requests of products to fulfill several customers’ orders so as to minimize the average time and shipping costs. In this pape...
Jalal Atoum, Mamoun Al Rababaa
DATESO
2010
150views Database» more  DATESO 2010»
13 years 6 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, ...
CEC
2008
IEEE
14 years 3 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»
14 years 2 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»
14 years 14 days 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