Abstract
This study presents the promising results obtained for an intelligent decision-making system for industrial processes in which the cutting stock problem is a component relevant to production planning. In order to establish a cutting process assisted by an intelligent system, with memory and learning capabilities, we utilised a symbiotic genetic algorithm (Symbio) that we developed for cutting stock problems with multiple objectives, setup costs and waste. We used case-based reasoning (CBR) as a learning strategy. The results obtained show that this is a promising approach.
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