GA-Optimal fitness functions
Genetic algorihtms (GA) are supposed to suceed through the use of ‘implicit parallelism’ and ‘building blocks’. Given these properties, we can create rules for constructing GA-optimal fitness functions. Some of these rules are also relevant to evolutionary programming and evolution strategies searches. The goal is to help the practitioner develop an intuition about when GA are effective.
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