基于强制进化随机游走算法的质量交换网络综合

针对现有质量交换网络优化方法存在的不足, 提出一种适用于质量交换网络综合的强制进化随机游走算法。通过随机增大或减小质量交换器的传质负荷、分流比以及贫流股的流量, 并设置最小阈值实现网络连续和整型变量的同步优化; 通过以较小概率接受差解, 增强结构变异, 使算法更好地兼顾质量交换网络的全局和局部搜索。在2个质量交换网络实例中的应用表明, 优化结果优于文献最优结果, 算法保持了个体的独立进化且具有良好的全局和局部搜索能力。

Mass Exchanger Network Synthesis Based on Random Walk Algorithm with Compulsive Evolution

Aiming at shortcomings of existing mass exchanger network optimization methods, a random walk algorithm with compulsive evolution for mass exchanger network synthesis is proposed, in which the mass transfer load, split ratio and the flow of lean streams of mass exchanger are increased or reduced randomly. A minimum threshold is set to realize synchronous optimization of network continuity and integer variables. A small probability is retained to accept the difference solution. It enhances mutation ability of the structure, and makes the algorithm taking into account global search and local search of mass exchanger network. Application in two mass exchanger network examples show that the optimization results are better than those in current literatures. The algorithm maintains independent evolution between individuals and has good global and local search ability.