Abstract
The article describes a variant of evolutionary algorithms, which avoids the usual explicit fitness based cycle. The idea is to exclude any presumptions about the problem at hand in the coding of the artificial evolution. In nature the fitness is implicit and we created a similar environment for genetic programming to solve practical engineering problems. Our attempt to avoid direct (explicit) fitness calculation showed positive effects on the robustness of the evolved solutions.
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Šprogar, M. (2005). Excluding Fitness Helps Improve Robustness of Evolutionary Algorithms. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_2
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DOI: https://doi.org/10.1007/11554028_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
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