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Title: Multi-objective geometric programming problem with Karush-Kuhn-Tucker condition using Iu-constraint method
Authors: Ojha A.K.
Ota R.R.
Keywords: constraint method
Duality theorem
Fuzzy programming
Geometric Programming
Karush-Kuhn-Tucker (KKT) condition
Pareto optimal solution
Issue Date: 2014
Citation: 3
Abstract: Optimization is an important tool widely used in formulation of the mathematical model and design of various decision making problems related to the science and engineering. Generally, the real world problems are occurring in the form of multi-criteria and multi-choice with certain constraints. There is no such single optimal solution exist which could optimize all the objective functions simultaneously. In this paper, Iu-constraint method along with Karush-Kuhn-Tucker (KKT) condition has been used to solve multi-objective Geometric programming problems(MOGPP) for searching a compromise solution. To find the suitable compromise solution for multi-objective Geometric programming problems, a brief solution procedure using �?-constraint method has been presented. The basic concept and classical principle of multi-objective optimization problems with KKT condition has been discussed. The result obtained by Iu-constraint method with help of KKT condition has been compared with the result so obtained by Fuzzy programming method. Illustrative examples are presented to demonstrate the correctness of proposed model. � 2014 EDP Sciences, ROADEF, SMAI.
Appears in Collections:Research Publications

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