The Implementation of Genetic Algorithms to Locate Highest Elevation By Harry Beddo

Basic Genetic Algorithm Create Initial Population Pairing Mating Mutation Checking

Initial Population Chromosome made up of 1’s and 0’s Large initial population

Pairing Simple pairing Random pairing Random weighted pairing Tournament style pairing

Mating Random selection point Crossover

Mutations Change a 1 to a 0 and visa versa Only 5%

Checking Reached iteration limit Convergence Stops or goes back to pairing step

Results Find highest elevation Limit search area