CS 478 - Evolutionary Algorithms 1 - Neural Networks and Machine ...

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CS 478 - Evolutionary Algorithms 16
There exist mathematical proofs that evolutionary techniques are efficient search strategies There are a number of different Evolutionary algorithm approaches – Genetic Algorithms – Evolutionary Programming – Evolution Strategies – Genetic Programming Strategies differ in representations, selection, operators, evaluation, survival, etc. Some independently discovered, initially function optimization (EP, ES) Strategies continue to “evolve” CS 478 - Evolutionary Algorithms 17
Page 1 and 2: CS 478 - Evolutionary Algorithms 1
Page 3 and 4: Populate our search space with init
Page 5 and 6: Procedure EA t = 0; Initialize Popu
Page 9 and 10: Individuals are represented so that
Page 13 and 14: In general want the fittest parents
Page 15: Population size - Larger gives more
Page 19 and 20: Representation that best fits probl
Page 21 and 22: Evolves more complex structures - p
Page 23 and 24: Use a Genetic Algorithm to learn th
Page 25 and 26: Much current work and extensions Nu
Page 27 and 28: Each classifier has an associated s
Page 29: s(C,t+1) = s(C,t) -B(C,t) - Loss of

CS 478 - Evolutionary Algorithms 1 - Neural Networks and Machine ...

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