基于改进布谷鸟搜索算法的换热网络综合Synthesis of Heat Exchanger Networks Based on Modified Cuckoo Search Algorithm
张红亮,崔国民,黄晓璜,周剑卫
摘要(Abstract):
针对换热网络综合混合整数非线性规划问题,提出布谷鸟搜索算法同步综合换热网络,并针对其不能有效处理换热网络结构进化问题进行改进。引入改进步长控制向量,设置最小热负荷,以一定概率接受差解三种整型变量优化策略,布谷鸟搜索算法能够同时优化整型变量和连续型变量从而实现换热网络最优化;同时改进新鸟巢的建立机制,实现鸟巢自我进化与信息交换的平衡,使算法更具全局搜索性能。通过验证两个基准算例,与文献中采用的遗传算法、模拟退火算法、微分进化等其它算法相比,改进的布谷鸟搜索算法能够获得年综合费用更低的换热网络设计方案。结果表明,改进的布谷鸟搜索算法具有较高的搜索效率和全局收敛精度,能够高效求解中小型甚至大型换热网络问题。
关键词(KeyWords): 换热网络综合;布谷鸟搜索算法;混合整数非线性规划;过程系统;能量回收
基金项目(Foundation): 上海市科委部分地方院校能力建设计划(16060502600);; 国家自然科学基金(51176125);; 沪江基金研究基地专项(D14001)
作者(Author): 张红亮,崔国民,黄晓璜,周剑卫
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