A general algorithm for solving Generalized Geometric Programming with nonpositive degree of difficulty

作者：Wang Yanjun^*; Li Tao; Liang Zhian

来源：Computational Optimization and Applications, 2009, 44(1): 139-158.

DOI：10.1007/s10589-007-9148-3

• Generalized Geometric Programming
• Degree of difficulty
• Decomposition method

In this paper, a general algorithm for solving Generalized Geometric Programming with nonpositive degree of difficulty is proposed. It shows that under certain assumptions the primal problem can be transformed and decomposed into several subproblems which are easy to solve, and furthermore we verify that through solving these subproblems we can obtain the optimal value and solutions of the primal problem which are global solutions. At last, some examples are given to vindicate our conclusions.

• 出版日期2009-10
• 单位上海财经大学