基于自适应模拟退火遗传算法的多杂质用水网络设计

Design of water utilization network with multiple contaminants based on adaptive simulated annealing genetic algorithm

水资源的短缺和环境污染的日益严重,对过程工业提出了减少新鲜水用量和废水排放量的要求,且通常废水中都含有多种污染物,由此本文提出了考虑回用的多杂质用水网络设计。不但建立了多杂质用水网络超结构MINLP 模型,而且针对MINLP 问题求解困难的现状,开发了自适应模拟退火遗传算法。实例研究结果表明该算法可以找到全局最优解且计算时间可满足要求。另外,该算法可有效避免陷入局部最优,也不要求提供初始可行解。

The scarcity of water resource and the severity of environmental pollution provide strong incentive for process industries to re-duce fresh water consumption and wastewater discharge,and usually there are multiple contaminants in wastewater.So design of water u-tilization with multiple contaminants considering wastewater reuse is presented.Not only the MINLP model of superstructure of water utili-zation network with multiple contaminants is built,but also an adaptive simulated annealing genetic algorithm is adopt because the MINLPproblem is difficult to solve.The result of case study shows that the hybrid algorithm can find global optimum and the calculation time issatisfactory.Otherwise,the hybrid algorithm can avoid trapping in local optimum and does not need initial feasible solution.