一类改进的和声搜索算法及其在化工优化问题中的应用

An improved harmony search algorithm and application for optimization of chemical processes

和声搜索(HS)属于启发式搜索算法。研究Zou等2010年文献中的改进和声搜索(NGHS)算法,通过求解连续变量全局最优化问题,表明NGHS算法具有较强的全局搜索能力。将NGHS算法应用于求解换热网络的优化计算,结果表明,NGHS算法能以较少的计算代价获得较高的计算精度,且NGHS算法参数少、容易实现,适用于工程优化问题。

Harmony search（ HS） is one of metaheuristic search algorithms. The so-called novel global harmony search（ NGHS） algorithm proposed by Zou et al. in 2010 is studied. By solving global optimization problems with continuous variables,it is found that NGHS has stronger global searching ability. Finally,NGHS algorithm is applied to the optimization of heat exchanging network. The results show that the NGHS algorithm has higher calculation accuracy with less computational cost and few parameters,easy to implement,and suitable for engineering optimization problems.