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Another way of looking at fitness functions is in terms of a Fitness Landscape , which shows the fitness for each possible chromosome.

An ideal fitness function correlates closely with the algorithm's goal, and yet may be computed quickly. Speed of execution is very important, as a typical genetic algorithm must be iterated many, many times in order to produce a useable result for a non-trivial problem.