Efficient linkage discovery by limited probing
Evolutionary Computation, ISSN: 1063-6560, Vol: 12, Issue: 4, Page: 517-545
2004
- 46Citations
- 275Usage
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations46
- Citation Indexes46
- 46
- CrossRef33
- Usage275
- Downloads271
- Abstract Views4
- Captures9
- Readers9
Article Description
This paper addresses the problem of discovering the structure of a fitness function from binary strings to the reals under the assumption of bounded epistasis. Two loci (string positions) are epistatically linked if the effect of changing the allele (value) at one locus depends on the allele at the other locus. Similarly, a group of loci are epistatically linked if the effect of changing the allele at one locus depends on the alleles at all other loci of the group. Under the assumption that the size of such groups of loci are bounded, and assuming that the function is given only as a "black box function", this paper presents and analyzes a randomized algorithm that finds the complete epistatic structure of the function in the form of the Walsh coefficients of the function.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=10444289823&origin=inward; http://dx.doi.org/10.1162/1063656043138914; http://www.ncbi.nlm.nih.gov/pubmed/15768527; https://direct.mit.edu/evco/article/12/4/517-545/1186; https://scholarworks.umt.edu/cs_pubs/12; https://scholarworks.umt.edu/cgi/viewcontent.cgi?article=1009&context=cs_pubs
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