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- W2069135014 abstract "Genetic Algorithms have been successfully applied in a wide variety of problems. Although widely used, there are few theoretical guidelines for determining when to terminate the search. One result by Aytug and Koehler provides a loose bound on the number of GA generations needed to see all populations (and hence, an optimal solution) with a specified probability. In this paper we derive a tighter bound. This new bound is on the number of iterations required to achieve a level of confidence to guarantee that a Genetic Algorithm has seen all strings (and, hence, an optimal solution)." @default.
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- W2069135014 date "2000-11-01" @default.
- W2069135014 modified "2023-10-18" @default.
- W2069135014 title "New stopping criterion for genetic algorithms" @default.
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- W2069135014 doi "https://doi.org/10.1016/s0377-2217(99)00321-5" @default.
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