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- W2897848402 abstract "In this paper we present a novel fractal encoding scheme for genetic algorithms based on iterated function systems. The algorithm is capable of encoding self-similar search spaces of fractional dimensions - including spaces of measure zero. Such self-similar spaces can naturally arise in many optimisation problems. In the paper, we also discuss the relationships between the Cantor set and probabilistic spaces, and the potential application of Cantor Dust as a combination of probability trees to create hybrid models. We conduct an experiment and report the results in order to illustrate the idea of fractal encoding. Finally, we also discuss the potential application areas of this new proposed algorithm." @default.
- W2897848402 created "2018-10-26" @default.
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- W2897848402 date "2018-10-20" @default.
- W2897848402 modified "2023-09-28" @default.
- W2897848402 title "Searching of Self-similar Spaces" @default.
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- W2897848402 doi "https://doi.org/10.1007/978-3-030-02683-7_81" @default.
- W2897848402 hasPublicationYear "2018" @default.
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