采用单元进化限制策略的RWCE算法优化换热网络

针对强制进化随机游走算法（RWCE）优化换热网络时后期进化缓慢的不足，提出一种采用单元进化限制策略的改进RWCE算法（RS-RWCE）优化换热网络.通过限制每次迭代个体中参与进化的换热单元数，在保持进化前期年综合费用收敛速度较快的同时，保证进化后期的精细搜索能力.通过对两个经典算例的比较验证，证明改进后的算法应用于换热网络优化问题时兼顾了整型变量与连续变量的优化，使计算效率和精度均得到提高，同时获得了较好的换热网络优化结果.

A Random Walk Algorithm with Compulsive Evolution Combined with Restrictive-evolution Strategy for Heat Unit in Heat Exchanger Network Synthesis

Optimization in random walking algorithm with compulsive evolution (RWCE) for heat exchanger network synthesis (HENS) turns to slow down in late evolution as heat load of all heat exchangers are optimized simultaneously. A random walk algorithm with compulsive evolution combined with restrictive-evolution strategy for heat unit (RS-RWCE) is proposed, in which number of evolved heat units in HEN is restricted in each random walk evolution to keep fast convergence of total annual cost in early evolution process and fine search in late evolution process. Specific examples are applied to verify high computational efficiency and accuracy of the strategy. It gives consideration to integer variable and continuous variable. The results are encouraging.