Processes synthesis and design of distillation sequences using modular simulators: a genetic algorithm framework
An optimization framework is proposed in this work for the synthesis and design of complex distillation sequences, based on a modified genetic algorithm (GA) coupled with a sequential process simulator. The use of a simulator facilitates the formulation of rigorous models for different process alternatives, while the genetic algorithm allows the solutions of the complex non-convex mathematical problem, involving discrete and continuous decisions. To reduce the computational requirements of the optimization procedure, several strategies are proposed, including a novel stopping criterion, which provides an efficient way to end the calculations when the optimal solution has been found. The implementation of these strategies resulted in reductions up to 60% in CPU time for the synthesis of complex distillation systems, succeeding in problems where deterministic mathematical algorithms had failed. (C) 2003 Elsevier Ltd. All rights reserved.
distillation sequences genetic algorithms process simulation process optimization