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A new two-level linear relaxed bound method for geometric programming problems

机译:求解几何规划问题的新的两级线性松弛界方法

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In this paper a new two-level linear relaxed bound method is proposed for solving the global solution of geometric programming problems, and its convergent properties is proved, and a numerical example is used to illustrate the effectiveness of the presented algorithm. The bound technique in this algorithm is different from the other ones. The two-level relaxed linear programming problems of geometric programming problems are given without additional new variables and constraints by making use of the linear approximation of power functions and the new formulas for product to be unequal with sum. (c) 2004 Elsevier Inc. All rights reserved.
机译:提出了一种新的两级线性松弛界方法来求解几何规划问题的整体解,证明了其收敛性,并通过数值算例说明了该算法的有效性。该算法中的绑定技术不同于其他算法。通过利用幂函数的线性逼近和乘积与和不等式的新公式,给出了几何规划问题的两级松弛线性规划问题,而没有其他新变量和约束。 (c)2004 Elsevier Inc.保留所有权利。

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