化工学报2016，Vol.67Issue(12)：5140-5147,8.DOI:10.11949/j.issn.0438-1157.20160498
一种新的用于换热网络全局优化的强制进化随机游走算法
A novel random walk algorithm with compulsive evolution for global optimization of heat exchanger networks
摘要
Abstract
A novel random walk algorithm with compulsive evolution (RWCE) was proposed on the basis of different heuristic methods for global optimization of heat exchanger networks. In RWCE algorithm, both integer (e.g., number of heat exchanger units) and continuous (e.g., area of heat exchanger) variables were optimized simultaneously by expanding or contracting randomly area of heat exchangers in the direction of targeting cost reduction. Moreover, when individuals walked around local optima, the RWCE algorithm could compulsively accept imperfect networks at certain probability such that it had strong capability of jumping out of the local optima and continuing global optimization. Several case studies indicated that the proposed RWCE algorithm, compared to other heuristic methods, possessed characteristics of simple evolution strategy, strong algorithm suitability and global searchability, which significantly improved optimization performance.关键词
强制进化随机游走算法/换热网络/整型变量/连续变量/优化Key words
random walk algorithm with compulsive evolution/heat exchanger network/integer variable/linear variable/optimization分类
信息技术与安全科学引用本文复制引用
肖媛,崔国民,李帅龙..一种新的用于换热网络全局优化的强制进化随机游走算法[J].化工学报,2016,67(12):5140-5147,8.基金项目
国家自然科学基金项目（51176125）；沪江基金研究基地专项（ D14001）；上海市科委部分地方院校能力建设计划项目（16060502600）。@@@@supported by the National Natural Science Foundation of China (51176125), the Hujiang Foundation of China (D14001) and the Capacity Building Plan for Some Non-military Universities and Colleges of Shanghai Scientific Committee(16060502600) （51176125）
