Ramón Alfonso Palacios-Durazo

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This article describes the similarities between learning classifier systems (LCSs) and coevolutionary algorithm, and exploits these similarities by taking ideas used by LCSs to design a non-generational coevolutionary algorithm that incrementally estimates fitness of individuals. The algorithm solves some of the problems known to exist in coevolutionary(More)
The central idea of coevolution lies in the fact that the fitness of an individual depends on its performance against the current individuals of the opponent population. However, coevolution has been shown to have problems [2,5]. Methods and techniques have been proposed to compensate the flaws in the general concept of coevolution [2]. In this article we(More)
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