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作 者:金广林 崔国民[1] 肖媛[1] 刘洪彬 付寅瑞 张志坤 JIN Guanglin;CUI Guomin;XIAO Yuan;LIU Hongbin;FU Yinrui;ZHANG Zhikun(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering,Shanghai 200093,China;Shanghai Jinshan Environmental Renewable Energy Company,Shanghai 201512,China)
机构地区:[1]上海理工大学能源与动力工程学院,上海市动力工程多相流动与传热重点实验室,上海200093 [2]上海金山环境再生能源有限公司,上海201512
出 处:《计算物理》2024年第2期245-257,共13页Chinese Journal of Computational Physics
基 金:国家自然科学基金(21978171,51976126);中国博士后科学基金(2020M671171)资助项目。
摘 要:针对质量交换网络优化过程中出现结构变异能力减弱和种群多样性丢失,导致优化易陷入局部最优解的问题,提出一种带有个体重构策略的强制进化随机游走算法。在接受差解的过程中,对个体进行实时监测,采用不同重构方式激励落后个体网络结构更新变异,从而提升算法的结构变异能力和种群多样性。同时根据有分流节点非结构模型的特点,对交叉重构后的新个体网络结构进行节点修复处理。最后通过R2S2和R4S2算例验证该策略的有效性,优化结果均低于当前文献结果,证明该策略能有效增强算法的结构变异能力和全局寻优能力。A random walk algorithm compulsive evolution with individual reconstruction strategy is proposed to solve the problem that the optimization of mass exchanger network is easily trapped in local extremum due to the weakening of the ability of structural variation and the loss of population diversity.In the process of receiving differential solutions,real-time monitoring is carried out on individuals,and different reconstruction methods are adopted to stimulate the network structure updating and variation of backward individuals,so as to improve the structural variation ability and population diversity of the algorithm.At the same time,according to the characteristics of the unstructured model with shunt nodes,a new individual network structure after cross reconstruction is repaired.Finally,the R2S2 and R4S2 examples are used to verify the effectiveness of the proposed strategy,and the optimization results are all lower than the results in the current literature,which proves that the proposed strategy can effectively enhance the structural variation ability and global optimization ability of the algorithm.
关 键 词:质量交换网络 优化 局部最优解 强制进化随机游走算法 重构
分 类 号:TK124[动力工程及工程热物理—工程热物理]
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