Self-adaptive genetic algorithms for numeric functions

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TECHNICALREPORT70_compressed.pdf - Published Version (321kB)

Hinterding, Robert, Michalewicz, Zbigniew and Peachey, Tom C (1996) Self-adaptive genetic algorithms for numeric functions. Technical Report. Victoria University of Technology. Department of Computer and Mathematical Sciences, Footscray, Vic.

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A version of this report was submitted to the Fourth International Conference on Parallel Problem Solving from Nature

Item type Monograph (Technical Report)
URI https://vuir.vu.edu.au/id/eprint/25710
DOI 70 COMP 24
Subjects Historical > FOR Classification > 0101 Pure Mathematics
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Keywords self-adaption, evolutionary computation, mutation strength, population size
Citations in Scopus 64 - View on Scopus
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