Algorithm Properties

• Inputs: fitness function, threshold defining an acceptable level of fitness for terminating the algorithm, the size of the population, parameters that determine how successor populations are generated (the fraction of the population to be replaced, and the mutation rate)
• probability of inclusion of hypothesis, , in the next generation,
• Hypothesis is chosen with replacement!!
• the probability that a hypothesis will be selected is proportional to its own fitness and inversely proportional to the fitness of the other competing hypotheses in the current population.