Otimização multiobjetivo do leito de fusão para altos-fornos

Abstract

In this work is presented a multi-objective optimization model to support the raw materials budget for blast furnaces consumption in the production of pig-iron, main material for steel making. Given a set of materials and fabrication constraints, such as materials availability, their chemical compositions, required features for the final product, etc, the objective of the model is to find the amount of each material that generates the lowest cost and wasteful solutions. Due to the interest in conflicting objectives, an evolutionary multi-objective model has been developed associated with specific components, built on the characteristics of decision variables that formulate the problem, in which those are divided in variables with normalization and without normalization. Thus, variable projections models are presented together with an intra-individual evolution strategy, aiming to increment efficiency and quality in the obtained solutions. The intra-individual evolution consists of stages that involve mutation by permutation, a specific projection method, and a secondary optimization, which was built by means of a swarm inteligent algorithm, the Particle Swarm Optimization. The model has shown to be very effective and useful in printing several scenarios in a swift way to aid in decisions making for the raw materials budget.