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173
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GECCO
2006
Springer
15 years 11 months ago
2006
Springer
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 ...
194
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GECCO
2006
Springer
15 years 11 months ago
2006
Springer
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
219
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GECCO
2006
Springer
15 years 11 months ago
2006
Springer
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
217
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GECCO
2006
Springer
15 years 11 months ago
2006
Springer
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
194
click to vote
GECCO
2006
Springer
15 years 11 months ago
2006
Springer
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...