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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 11 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
ISSTA
2009
ACM
15 years 11 months ago
Time-aware test-case prioritization using integer linear programming
Techniques for test-case prioritization re-order test cases to increase their rate of fault detection. When there is a fixed time budget that does not allow the execution of all ...
Lu Zhang, Shan-Shan Hou, Chao Guo, Tao Xie, Hong M...
CODES
2007
IEEE
15 years 11 months ago
Ensuring secure program execution in multiprocessor embedded systems: a case study
Multiprocessor SoCs are increasingly deployed in embedded systems with little or no security features built in. Code Injection attacks are one of the most commonly encountered sec...
Krutartha Patel, Sridevan Parameswaran, Seng Lin S...
GECCO
2007
Springer
165views Optimization» more  GECCO 2007»
15 years 11 months ago
Peptide detectability following ESI mass spectrometry: prediction using genetic programming
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
David C. Wedge, Simon J. Gaskell, Simon J. Hubbard...
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 11 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden