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

2. Basic Genetic Algorithm Create Initial Population Pairing Mating Mutation Checking

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

4. Pairing Simple pairing Random pairing Random weighted pairing Tournament style pairing

5. Mating Random selection point Crossover

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

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

11. Results Find highest elevation Limit search area