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GECCO
2006
Springer

Solving identification problem for asynchronous finite state machines using genetic algorithms

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Solving identification problem for asynchronous finite state machines using genetic algorithms
A Genetic Algorithm, embedded in a simulation-based method, is applied to the identification of Asynchronous Finite State Machines. Two different coding schemes and their associated crossover operations are examined. It is shown that one operator / coding pair outperforms the other in that the scheme reduces noticeably the production of invalid chromosomes thus increasing the efficiency and the convergence rate of the evolution process. Categories and Subject Descriptors I.6.5 [Model Development]: Modeling methodologies. General Terms Algorithms, Performance, Experimentation. Keywords Model Identification, Asynchronous Finite State Machines, Genetic Algorithms, Coding Schemes.
Xiaojun Geng
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where GECCO
Authors Xiaojun Geng
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