The process industries exhibit an increasing need for efficient management of all the factors
that can reduce their operating costs, leading to the necessity for a global multi-objective
optimization methodology that will enable 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 in the kraft pulp and
paper industry, in order to optimize energy the costs and production rate changes. This …