Krystian Obrocki

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Co-evolutionary techniques makes it possible to apply evolutionary algorithms in the cases when it is not possible to formulate explicit fitness function. In the case of social and economic simulations such techniques provide us tools for modeling interactions between social and economic agents—especially when agent-based models of co-evolution are used. In(More)
Co-evolutionary techniques makes it possible to apply evolutionary algorithms in the cases when it is not possible to formulate explicit fitness function. In the case of social and economic simulations such techniques provide us tools for modeling interactions between social or economic agents—especially when agent-based models of co-evolution are used. In(More)
Co-evolutionary algorithms are evolutionary algorithms in which the given individual's fitness value estimation is made on the basis of interactions of this individual with other individuals present in the population. In this paper agent-based versions of cooperative co-evolutionary algorithms are presented and evaluated with the use of standard(More)
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