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Conference Papers Year : 2009

Application of a simple binary genetic algorithm to a noiseless testbed benchmark

Abstract

One of the earliest evolutionary computation algorithms, the genetic algorithm, is applied to the noise-free BBOB 2009 testbed. It is adapted to the continuous domain by increasing the number of bits encoding each variable, until a desired resolution is possible to achieve. Good results and scaling are obtained for separable functions, but poor performance is achieved on the other functions, particularly ill-conditioned functions. Overall running times remain fast throughout.
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Dates and versions

inria-00377093 , version 1 (20-04-2009)

Identifiers

  • HAL Id : inria-00377093 , version 1

Cite

Miguel Nicolau. Application of a simple binary genetic algorithm to a noiseless testbed benchmark. Genetic and Evolutionary Computation Conference (GECCO), Jul 2009, Montreal, Canada. ⟨inria-00377093⟩
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