Multiobjective optimization with economic and environmental objective functions using Modified Simulated Annealing

Abstract In this work an algorithm based on simulated annealing is presented to solve multiobjective optimization problems of chemical processes, considering Net Present Value as the economic objective function and Global Potential Environmental Impact as the environmental objective function. Toluene hydrodealkylation to produce benzene was used as case study. The results were analysed for: the algorithm performance considering the results average deviation, the Pareto optimal solutions and the comparison with monobjective optimization results.

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