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Genetic algorithm with alphabet optimization

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Abstract

In recent years the genetic algorithm (GA) was used successfully to solve many optimization problems. One of the most difficult questions of applying GA to a particular problem is that of coding. In this paper a scheme is derived to optimize one aspect of the coding in an automatic fashion. This is done by using a high cardinality alphabet and optimizing the meaning of the letters. The scheme is especially well suited in cases where a number of similar problems need to be solved. The use of the scheme is demonstrated with such a group of problems: the simplified problem of navigating a ‘robot’ in a ‘room.’ It is shown that for the sample problem family the proposed algorithm is superior to the canonical GA.

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Tóth, G.J., Kovács, S. & Lörincz, A. Genetic algorithm with alphabet optimization. Biol. Cybern. 73, 61–68 (1995). https://doi.org/10.1007/BF00199056

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  • DOI: https://doi.org/10.1007/BF00199056

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