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大规模过程系统优化标准算例库的建立
Establishment of Normal Test Problem Sets Library for Large Scale Optimization of Process Systems
【摘要】 为了测试大规模优化软件求解性能,在改造序列二次规划(SQP)算法并开发出大规模非线性优化软件的基础上,建立了大规模过程系统优化的标准算例库。算例库根据不同的分类标准分为不同的算例集。算例库中既有测试优化软件鲁棒性、迭代次数等性能的小规模算例,又有测试优化软件计算时间、内存使用量等性能的大规模算例。算例中还有一些具有流程应用背景的大规模优化实例,用于检验优化软件对实际问题的求解能力。大规模标准算例库的建立为开发高效大规模优化软件提供了有力支持,同时也可以为相关领域的研究者提供帮助。
【Abstract】 In order to test the performance of large optimization software,based on the research of sequential quadratic programming(SQP) and the development of large-scale optimization software,a normal test problem sets library for large-scale optimization of process systems was established.The test problem sets library was classified according to different criterions.Small cases were used to test the robust,iterations of software,and large-scale cases were used to test the computation time and memory usage.There were still some real cases,which can be used to test the performance of software to solve real problems.The establishment of the normal test sets library can provide support for the development of excellent optimization software.Also,it gives some supports for the researchers in the related fields.
【Key words】 optimization; test problem sets library; SQP; large-scale; reduced space; degrees of freedom;
- 【文献出处】 化工自动化及仪表 ,Control and Instruments in Chemical Industry , 编辑部邮箱 ,2008年01期
- 【分类号】TP311.52
- 【被引频次】1
- 【下载频次】105