From Wikipedia, the free encyclopedia.
A fitness function quantifies the optimality of a solution (that is, a chromosome) in a genetic algorithm. Equivalently, it is used to calculate the elevation of a point on the fitness landscape. An ideal fitness function correlates closely with the algorithm's goal and yet may be computed quickly.
A fitness function is sometimes referred to as an objective function in the context of genetic algorithms.
