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Comparison of the numerical efficiency of different sequential linear programming based algorithms for structural optimisation problems

机译:结构优化问题中基于不同顺序线性规划算法的数值效率比较

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摘要

Amogst the different optimisation methods, the Sequential Linear Programming (S.L.P.) is very popular because of its conceptual simplicity and of the large availability of LP commercial packages (i.e. Simplex algorithm). Unfortunately, the numerical efficiency of the S.L.P method depends measningfully on a proper choice of the move limits that are adopted for the optimisation variables. In this paper the effect on the numerical solution of different move limits definition criteria has been investigated. Two different approaches (CGML and LEAML) for the definition of the move limits in Sequential Linear Programming are described and compared in terms of numerical efficiency in the solution of six problems of weight minimisation of bar trusses structures.
机译:由于采用了不同的优化方法,顺序线性规划(S.L.P.)由于其概念简单性和LP商业软件包(即Simplex算法)的大量可用性而非常受欢迎。不幸的是,S.L.P方法的数值效率在很大程度上取决于优化变量所采用的运动极限的正确选择。本文研究了不同运动极限定义准则对数值解的影响。描述了两种不同的方法(CGML和LEAML),用于定义顺序线性规划中的移动极限,并根据数值效率解决了杆桁结构的重量最小化的六个问题。

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