Abstract
In this article a set of guidelines for the design of genetic operators and the representation of the phenotype space is proposed. These guidelines should help to systematize the design of problem-specific evolutionary algorithms. Hence, they should be particularly beneficial for the design of genetic programming systems. The applicability of this concept is shown by the systematic design of a genetic programming system for finding Boolean functions. This system is the first GP-system, that reportedly found the 12 parity function.
Cite
CITATION STYLE
Droste, S., & Wiesmann, D. (2000). Metric based evolutionary algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1802, pp. 29–43). Springer Verlag. https://doi.org/10.1007/978-3-540-46239-2_3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
