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» Embedded core testing using genetic algorithms
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SAC
2008
ACM
14 years 11 months ago
A hybrid software-based self-testing methodology for embedded processor
Software-based self-test (SBST) is emerging as a promising technology for enabling at-speed testing of high-speed embedded processors testing in an SoC system. For SBST, test rout...
Tai-Hua Lu, Chung-Ho Chen, Kuen-Jong Lee
HIS
2003
15 years 1 months ago
PDGA: the Primal-Dual Genetic Algorithm
Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
Shengxiang Yang
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
15 years 3 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
ISCI
1998
193views more  ISCI 1998»
14 years 11 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
WCE
2007
15 years 25 days ago
Game Theory Using Genetic Algorithms
—In this paper we used genetic algorithms to1 find the solution of game theory. We proposed new method foe solving game theory and find the optimal strategy for player A or playe...
Ismail A. Ismail, Nabawia A. El Ramly, M. M. El Ka...