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» Genetic Algorithms for Randomized Unit Testing
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ENTCS
2006
113views more  ENTCS 2006»
14 years 9 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
100
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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 1 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...
87
Voted
CAI
2004
Springer
14 years 9 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 1 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 2 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,...