Genetic Algorithms

• Genetic algorithms are based around genes that are solutions to a problem.
• Genes encode a solution.
• Each solution is given a value by an evaluation function.
• A population of genes can breed to produce new solutions.
• Breeding involves cross-over (combining parts of two genes), mutation, and other operations.
• If certain properties hold, successive generations will tend to have better solutions.