Abstract
The Genetic Algorithm often has difficulties solving problems in which the scale of important regions in the search space (and thus the type of scale needed for successful search differs. An algorithm is proposed in which the encoding precision for real based chromosomal structures is evolved concurrently with the solution, allowing the Genetic Algorithm to change the scale of its search to suit the current environment. The Algorithm is tested on three standard Genetic Algorithm test functions, and a cardboard box manufacturing application.
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© 1998 Springer-Verlag
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Podlena, J.R. (1998). Evolving the scale of genetic search. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_793
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DOI: https://doi.org/10.1007/3-540-64582-9_793
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