Fuzzy logic applied to tunning mutation size in evolutionary algorithms
Abstract Tuning of parameters is a very important but complex issue in the Evolutionary Algorithms’ design. The paper discusses the new, based on the Fuzzy Logic concept of tuning mutation size in these algorithms. Data on evolution collected in prior generations are used to tune the size of mutatio...
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86349-5 |
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