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» Genetic Algorithms for Randomized Unit Testing
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GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
15 years 1 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
SAC
2008
ACM
14 years 9 months ago
Dynamic populations in genetic algorithms
Biological populations are dynamic in both space and time, that is, the population size of a species fluctuates across their habitats over time. There are rarely any static or fix...
Zhanshan (Sam) Ma, Axel W. Krings
92
Voted
LCTRTS
1999
Springer
15 years 1 months ago
Optimizing for Reduced Code Space using Genetic Algorithms
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled cod...
Keith D. Cooper, Philip J. Schielke, Devika Subram...
84
Voted
BIOSYSTEMS
2008
129views more  BIOSYSTEMS 2008»
14 years 9 months ago
Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?
Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not ...
Ch. Mizas, Georgios Ch. Sirakoulis, Vasilios A. Ma...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 7 months ago
Evolutionary Approach to Test Generation for Functional BIST
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...