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Genetic Algorithms ,[object Object],[object Object],[object Object],[object Object],[object Object]
Evolutionary Computation ,[object Object],[object Object],[object Object]
Biological Evolution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genetic Algorithm
Representing Hypotheses ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operators for Genetic Algorithms Parent Strings Offspring 10110010 1 001 Point Mutation 10110010 0 001 1011 00101001 0000 11100101 1011 11100101 0000 00101001 Single Point Crossover 101 10010 1001 000 01110 0101 101 01110 1001 000 10010 0101 Two Point Crossover 10 1 1 001 0 1 001 00 0 0 111 0 0 101 10 0 1 111 0 0 001 00 1 0 001 0 1 101 Uniform Crossover
Selecting Most Fit Hypothesis
GABIL (DeJong et al. 1993) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Crossover with Variable-Length Bitstrings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GABIL Extensions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GABIL Results ,[object Object],[object Object],[object Object],[object Object],[object Object]
Schemas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Consider Just Selection
Schema Theorem
Genetic Programming ,[object Object],[object Object]
Crossover
Block Problem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Block Problem Primitives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Learned Program ,[object Object],[object Object],[object Object],[object Object]
Genetic Programming ,[object Object],[object Object],[object Object],[object Object]
GP for Classifying Images ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Biological Evolution ,[object Object],[object Object],[object Object],[object Object]
Baldwin Effect ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Baldwin Effect (Example) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computer Experiments on Baldwin Effect ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bucket Brigade ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolutionary Programming Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolutionary Programming Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolutionary Programming Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Chapter09.ppt

  • 1.
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  • 6. Operators for Genetic Algorithms Parent Strings Offspring 10110010 1 001 Point Mutation 10110010 0 001 1011 00101001 0000 11100101 1011 11100101 0000 00101001 Single Point Crossover 101 10010 1001 000 01110 0101 101 01110 1001 000 10010 0101 Two Point Crossover 10 1 1 001 0 1 001 00 0 0 111 0 0 101 10 0 1 111 0 0 001 00 1 0 001 0 1 101 Uniform Crossover
  • 7. Selecting Most Fit Hypothesis
  • 8.
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