Global Optimization of Energy and Production in Basic Industries: a Genetic Algorithm Application

نویسندگان

  • Amâncio C. Santos
  • António Dourado
چکیده

The basic industries exhibit an increasing need for efficient management of all factors reducing the operation costs, leading to the necessity of a global multi-objective optimization methodology enabling the generation of optimum strategies fulfilling the required restrictions. In this paper a genetic algorithm is developed and applied for the optimal assignment of all the production sections in a particular mill of the Kraft pulp and paper industry in order to optimize energy costs and the production rate changes. This system is intended to fulfill all programmed or forced maintenance shutdowns as well as all the imposed reductions in production rates.

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تاریخ انتشار 1997