Modeling coevolutionary genetic algorithms on two-bit landscapes: partnering strategies


Different from standard genetic algorithms where each individual is evaluated separately according to predefined objective function(s), one most notable characteristic of coevolutionary genetic algorithms (CGA) is that evaluation procedures require more than one individual and an individual's fitness is depending on its interactions with its partners. In… (More)
DOI: 10.1109/CEC.2004.1331191


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