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Evolutionary algorithm based on schemata theory |
Takashi MARUYAMA, Eisuke KITA( ) |
| Graduate School of Information Science, Nagoya University, Nagoya 464-8601, Japan |
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Abstract The stochastic schemata exploiter (SSE), which is one of the evolutionary algorithms based on schemata theory, was presented by Aizawa. The convergence speed of SSE is much faster than simple genetic algorithm. It sacrifices somewhat the global search performance. This paper describes an improved algorithm of SSE, which is named as cross-generational elitist selection SSE (cSSE). In cSSE, the use of the cross-generational elitist selection enhances the diversity of the individuals in the population and therefore, the global search performance is improved. In the numerical examples, cSSE is compared with genetic algorithm with minimum generation gap (MGG), Bayesian optimization algorithm (BOA), and SSE. The results show that cSSE has fast convergence and good global search performance.
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| Keywords
stochastic schemata exploiter
cross generational elitist selection
minimal generation gap
Bayesian optimization algorithm
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Corresponding Author(s):
KITA Eisuke,Email:kita@is.nagoya-u.ac.jp
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Issue Date: 05 March 2009
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