Lecture 7: Genetic Algorithms Cognitive Systems Ii -machine Learning Ss 2005

    Abstract

    Motivation learning methods is motivated by analogy to biological evolution rather than search from general-to-specific or from simple-to-complex, genetic algorithms generate successor hypotheses by repeatedly mutating and recombining parts of the best currently known hypotheses at each step, a collection of hypotheses, called the current population, is… (More)

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