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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 8 months ago
Genetic programming for agricultural purposes
Nitrogen is one of the most important chemical intakes to ensure the healthy growth of agricultural crops. However, some environmental concerns emerge (soil and water pollution) w...
Clément Chion, Luis E. Da Costa, Jacques-An...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
13 years 8 months ago
Crossover gene selection by spatial location
Spatial based gene selection for division of chromosomes used by crossover operators is proposed for three-dimensional problems. This spatial selection is shown to preserve more g...
David M. Cherba, William F. Punch
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 8 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
13 years 8 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 8 months ago
Human competitive security protocols synthesis
This poster paper outlines a method for a search based approach to the development of provably correct protocols. Categories and Subject Descriptors C.2.2 [Computer Communication ...
Hao Chen, John A. Clark, Jeremy Jacob
GECCO
2006
Springer
128views Optimization» more  GECCO 2006»
13 years 8 months ago
FTXI: fault tolerance XCS in integer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Hong-Wei Chen, Ying-Ping Chen
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 8 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
13 years 8 months ago
GRASP - evolution for constraint satisfaction problems
Manuel Cebrián, Iván Dotú
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
A genetic model based on simulated crossover of quaternary genes for quadratic fitness
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
Marco Carpentieri, Vito Fedullo