A comparative study on optimization techniques for solving multi-objective geometric programming problems
Rashmi Ranjan Ota, Abhigyan Ojha · Applied Mathematical Sciences · 2015
Various optimization techniques are there for mathematical modeling and design of many non-linear problems related to the various eld of science and engineering. The real world engineering problems are occurring in the form of multi-criteria having certain constraints. Till now, no such single optimization method exist which could optimize all objective functions simultaneously. In this paper, weighted sum method has been discussed to solve multi-objective geometric programming problem(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.