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66
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CEC
2005
IEEE
15 years 3 months ago
An empirical analysis of the grouping genetic algorithm: the timetabling case
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
Rhydian Lewis, Ben Paechter
74
Voted
CEC
2005
IEEE
15 years 3 months ago
On the convergence of multi-parent genetic algorithms
Abstract— This paper presents a Markov model for the convergence of multi-parent genetic algorithms (MPGAs). The proposed model formulates the variation of gene frequency caused ...
Chuan-Kang Ting
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
CMSB
2006
Springer
15 years 1 months ago
Compositional Reachability Analysis of Genetic Networks
Genetic regulatory networks have been modeled as discrete transition systems by many approaches, benefiting from a large number of formal verification algorithms available for the ...
Gregor Gößler
ACSAC
2007
IEEE
15 years 4 months ago
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...