Strategy Adaptation by Competing Subpopulations (1994) [36 citations — 2 self]
by Dirk Schlierkamp-voosen, Heinz Muhlenbein
Parallel Problem Solving from Nature (PPSN III
ftp://borneo.gmd.de/pub/as/ga/gmd_as_ga-94_14.ps
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@INPROCEEDINGS{Schlierkamp-voosen94strategyadaptation,author = {Dirk Schlierkamp-voosen and Heinz Muhlenbein},
title = {Strategy Adaptation by Competing Subpopulations},
booktitle = {Parallel Problem Solving from Nature (PPSN III},
year = {1994},
pages = {199--208},
publisher = {Springer-Verlag}
}
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Abstract:
Abstract. The breeder genetic algorithm BGA depends on a set of control parameters and genetic operators. In this paper it is shown that strategy adaptation by competing subpopulations makes the BGA more robust and more efficient. Each subpopulation uses a different strategy which competes with other subpopulations. Numerical results are presented for a number of test functions.
