R. Murrieta-Duenas

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The optimal design and synthesis of distillation systems remains one of the most challenging problems in process engineering. The goal of this paper is to introduce an evolutionary approach for the optimization of the total energy consumption of distillation systems with constraints. Moreover, the contribution of this paper is a novel constraint handling(More)
In this work, we obtain and compare the control properties of thermally coupled reactive distillation sequences and thermally coupled extractive distillation sequences with those of conventional reactive and extractive distillation configurations. All sequences have been designed using a multiobjective genetic algorithm with restrictions. The theoretical(More)
In this paper we study the design and optimization of heat-integrated distillation columns (HIDiC) using a constrained Boltzmann-based estimation of distribution algorithm. The total annual cost was defined as the fitness function of the problem, and the effect of the relative volatility on the performance of the HIDiC configurations was evaluated. We(More)
In this work, we analyze the control properties of thermally coupled reactive distillation sequences and thermally coupled extractive distillation sequences in comparison with conventional reactive and extractive distillation configurations. All sequences have been designed using a multi objective genetic algorithm with restrictions. We study the(More)
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