Qualitative selection strategies in genetic-based evolutionaryeconomic models
Loia, V.
Scandizzo, S.
Dipartimento di Inf. ed Applicazioni, Salerno Univ.;
Abstract
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
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