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In this paper, we address the automated product design problem by two distinct evolutionary approaches: genetic algorithms and evolutionary ontologies. Based on the mechanisms and internal representation of each algorithm, their capabilities are different, which means that the structure and complexity of the products differs. We provide detailed description of the evolutionary ontologies: crossover,...
The concept of evolutionary ontology has been introduced recently. They are actually genetic algorithms which use ontologies instead of mathematical structures, such as bit strings or numbers. An ontology has a significant expressivity power, therefore it allows more complex genetic operators, beside the classical ones. In this article we introduce several such new genetic operators (intersection...
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