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GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
15 years 9 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
CEC
2003
IEEE
15 years 8 months ago
A genetic algorithm for energy efficient device scheduling in real-time systems
Most embedded systemshave tightconstraints on power consumption because the amonnt of power available to these systems is limited due to the limitation ofbattery life. For this rea...
Lirong Tian, Tughrul Arslan
BIOCOMP
2006
15 years 6 months ago
Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...
Jason E. Aten
ICIP
2000
IEEE
16 years 6 months ago
A Hierarchical Genetic Disparity Estimation Algorithm for Multiview Image Synthesis
In this paper, a hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached usin...
L. J. Luo, D. R. Clewer, David R. Bull, Cedric Nis...
PPSN
2004
Springer
15 years 10 months ago
Optimising the Performance of a Formula One Car Using a Genetic Algorithm
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
Krzysztof Wloch, Peter J. Bentley