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Probabilistic model-building genetic algorithmsby: Martin Pelikan
In GECCO '08: Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation (2008), pp. 2389-2416.
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AbstractProbabilistic model-building algorithms (PMBGAs) replace traditional variation of genetic and evolutionary algorithms by (1) building a probabilistic model of promising solutions and (2) sampling the built model to generate new candidate solutions. PMBGAs are also known as estimation of distribution algorithms (EDAs) and iterated density-estimation algorithms (IDEAs).
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