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Published byNorah Nash Modified over 9 years ago
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The Implementation of Genetic Algorithms to Locate Highest Elevation By Harry Beddo
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Basic Genetic Algorithm Create Initial Population Pairing Mating Mutation Checking
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Initial Population Chromosome made up of 1’s and 0’s Large initial population
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Pairing Simple pairing Random pairing Random weighted pairing Tournament style pairing
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Mating Random selection point Crossover
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Mutations Change a 1 to a 0 and visa versa Only 5%
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Checking Reached iteration limit Convergence Stops or goes back to pairing step
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Results Find highest elevation Limit search area
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