An Alternative Approach to the Solution of Multi-Objective Geometric Programming Problems

• 作者: Ersoy ?z Nuran Güzel Sel?uk Alp
• 来源期刊: 最优化(英文)
• 学科: 数学
• 关键词: Multi Objective GEOMETRIC PROGRAMMING Kuhn-Tucker Conditions TAYLOR Series Expansion Numerical METHOD Weighted Mean METHOD
• 年，卷（期）: 2017,（1）
• 页码范围: 11-25
• 页数: 15页
• 分类号: O1

摘要

The aim of this study is to present an alternative approach for solving the multi-objective posynomial geometric programming problems. The proposed approach minimizes the weighted objective function comes from multi-objective geometric programming problem subject to constraints which constructed by using Kuhn-Tucker Conditions. A new nonlinear problem formed by this approach is solved iteratively. The solution of this approach gives the Pareto optimal solution for the multi-objective posynomial geometric programming problem. To demonstrate the performance of this approach, a problem which was solved with a weighted mean method by Ojha and Biswal (2010) is used. The comparison of solutions between two methods shows that similar results are obtained. In this manner, the proposed approach can be used as an alternative of weighted mean method.