抽象的

GOAL GEOMETRIC PROGRAMMING PROBLEM (G2 P2) WITH CRISP AND IMPRECISE TARGETS

Payel Ghosh, Tapan Kumar Roy

There are very common and widely used forms of solving linear and non-linear Goal Programming Problem. They are Archimedean, Lexicographic and MINMAX etc. This paper proposes a Geometric Programming method to solve a non-linear Goal Programming Problem. In particular, it demonstrates a new approach goal geometric programming in both crisp and imprecise environment. There is a numerical example and also an application of this method in two-bar truss problem. Comparison with Kuhn-Tucker conditions and crisp goal geometric programming method in the numerical example, it shows the efficiency of this method. In this paper, we have described fuzzy goal geometric programming and also implemented it on the same numerical example like crisp goal geometric programming and two bar truss problem.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证

索引于

谷歌学术
学术期刊数据库
打开 J 门
学术钥匙
研究圣经
引用因子
电子期刊图书馆
参考搜索
哈姆达大学
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

查看更多