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» Genetic Algorithms for Randomized Unit Testing
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88
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ENTCS
2006
113views more  ENTCS 2006»
14 years 11 months ago
Concurrent Java Test Generation as a Search Problem
A Random test generator generates executable tests together with their expected results. In the form of a noise-maker, it seeds the program with conditional scheduling primitives ...
Yaniv Eytani
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 3 months ago
A new crossover technique for Cartesian genetic programming
Genetic Programming was first introduced by Koza using tree representation together with a crossover technique in which random sub-branches of the parents' trees are swapped ...
Janet Clegg, James Alfred Walker, Julian Francis M...
100
Voted
CAI
2004
Springer
14 years 11 months ago
An Evolvable Combinational Unit for FPGAs
A complete hardware implementation of an evolvable combinational unit for FPGAs is presented. The proposed combinational unit consisting of a virtual reconfigurable circuit and evo...
Lukás Sekanina, Stepan Friedl
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 3 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
LSGRID
2004
Springer
15 years 5 months ago
Mega Process Genetic Algorithm Using Grid MP
In this study, a new Genetic Algorithm (GA) using the Tabu · Local Search mechanism is proposed. The GA described in this paper is considered a Mega Process GA, which has an effe...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki,...