Evolutionary Algorithms in a Nutshell

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Evolutionary Strategy● Uses vector of reals rather than bit string.● Mutation: add a random value to each elementof the vector.● Recombination: take the mean of eachelement of the parent vector:[1.0, 2.0, 3.0], [2.0, 1.0, 4.0] [1.5, 1.5, 3.5]
Genetic Programming● Solutions are actual programs, usuallyrepresented as parse trees.● Recombination consists of programsexchanging subtrees.● Mutation is generally not used.● This is awesome.
Page 1 and 2: Evolutionary Algorithms in a Nutshe
Page 3 and 4: Key Features● Population● Genet
Page 5 and 6: Genetic Algorithms● Search techni
Page 8 and 9: Toy Example (cont'd)Init: P = {0100
Page 10 and 11: Generation 2Select parents: 110011,
Page 14 and 15: Learning Classifier Systems● Popu
Page 16 and 17: Why bother?● Yields surprisingly
Page 18: References/Further Reading● Goldb

Evolutionary Algorithms in a Nutshell

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