A comparative study on optimization techniques for solving multi-objective geometric programming problems

Abstract

Various optimization techniques are there for mathematical model- ing and design of many non-linear problems related to the various field of science and engineering. The real world engineering problems are oc- curring in the form of multi-criteria having certain constraints. Till now, no such single optimization method exist which could optimize all objec- tive functions simultaneously. In this paper, weighted sum method has been discussed to solve multi-objective geometric programming prob- lem(MOGPP) and the result so obtained by weighted sum method has been compared with fuzzy programming method. Illustrative examples are presented to demonstrate the correctness of proposed model. � 2014 Rashmi Ranjan Ota and A. K. Ojha.