Qualitative selection strategies in genetic-based evolutionary economic models

We use an evolutionary economic model based on a "genetic" representation of firm's behaviour which can naturally be implemented by means of a genetic algorithm. We suggest that both optimisation performance and simulation power may be enhanced incorporating in genetic algorithms a sophisticated fuzzy clustering algorithm. Such a system would be worth using in all those cases where uncertainty and imprecision occur in the evaluation of the fitness function, as well as in assessing similarities and differences among individuals.