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» Introduction to genetic algorithms
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IJISTA
2008
95views more  IJISTA 2008»
15 years 6 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
TAMC
2007
Springer
16 years 1 days ago
Kernelizations for Parameterized Counting Problems
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
Marc Thurley
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
15 years 9 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
EC
2007
160views ECommerce» more  EC 2007»
15 years 5 months ago
Agent-Based Model of Genotype Editing
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, i...
Chien-Feng Huang, Jasleen Kaur, Ana Gabriela Magui...
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
16 years 7 days ago
A Genetic Approach to Multivariate Microaggregation for Database Privacy
Microaggregation is a technique used to protect privacy in databases and location-based services. We propose a new hybrid technique for multivariate microaggregation. Our techniqu...
Antoni Martínez-Ballesté, Agusti Sol...