Genetic algorithms applied to scheduling and optimization of refinery operations

Abstract

This paper presents a Genetic Algorithm-based method to optimize the production schedule of the fuel oil and asphalt section in a petroleum refinery. Two Genetic Algorithm models were developed to establish the sequence and size of all production shares. A special mutation operator was also proposed to minimize the number of changes in the production. A… (More)

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