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» On Optimal Learning Algorithms for Multiplicity Automata
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ICMLA
2004
13 years 6 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
IC3
2010
13 years 5 months ago
LACAIS: Learning Automata Based Cooperative Artificial Immune System for Function Optimization
Artificial Immune System (AIS) is taken into account from evolutionary algorithms that have been inspired from defensive mechanism of complex natural immune system. For using this ...
Alireza Rezvanian, Mohammad Reza Meybodi
TSMC
2002
102views more  TSMC 2002»
13 years 4 months ago
Generalized pursuit learning schemes: new families of continuous and discretized learning automata
The fastest learning automata (LA) algorithms currently available fall in the family of estimator algorithms introduced by Thathachar and Sastry [24]. The pioneering work of these ...
M. Agache, B. John Oommen
IEEECIT
2009
IEEE
13 years 12 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
COLT
1994
Springer
13 years 9 months ago
An Optimal Parallel Algorithm for Learning DFA
: Sequential algorithms given by Angluin 1987 and Schapire 1992 learn deterministic nite automata DFA exactly from Membership and Equivalence queries. These algorithms are feasible...
José L. Balcázar, Josep Díaz,...