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» Genetic Algorithms for Dynamic Test Data Generation
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ICGA
1997
86views Optimization» more  ICGA 1997»
13 years 10 months ago
Performance of Diploid Dominance with Genetically Synthesized Signal Processing Networks
A methodology is described for synthesizing signal processing networks, which are used to solve a low-cost medical signal processing problem. The approach makes use of genetic alg...
F. Greene
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 2 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
14 years 2 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
DATE
1999
IEEE
147views Hardware» more  DATE 1999»
14 years 1 months ago
Efficient BIST Hardware Insertion with Low Test Application Time for Synthesized Data Paths
In this paper, new and efficient BIST methodology and BIST hardware insertion algorithms are presented for RTL data paths obtained from high level synthesis. The methodology is ba...
Nicola Nicolici, Bashir M. Al-Hashimi
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 2 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan