Qualitative selection strategies in genetic-based evolutionaryeconomic models
Loia, V.; Scandizzo, S.
Proceedings of ISUMA - NAFIPS apos;95 The Third International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society
Volume , Issue , 17-19 Sep 1995 Page(s):333 - 338
Digital Object Identifier   10.1109/ISUMA.1995.527717
Summary: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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