An Interactive Method for Solving a lass of Stochastic Multi Objective Integer Linear Programming Problem
Suparni1, Herman Mawengkang2
1Suparni, Department of Mathematics Doctorate Program, University of Sumatera Utara, Indonesia.
2Herman Mawengkang, Department of Mathematics Doctorate Program, University of Sumatera Utara, Indonesia.
Manuscript received on 09 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1395-1400 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12470476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Decision problems of stochastic or probabilistic optimization arise when certain coefficient of an optimization model are not fixed or known but are instead, to some extent, stochastic(or random or probabilistic) quantities. This paper focused on multi objective stochastic optimization. We propose a method for solving a multi objective chance constraints integer programming problem based on interactive approach. We assume that there is randomness in the right-hand sides of the constraints only and that the random variables are normally distributed. Some examples are presented.
Keywords: Multiobjective Integer Linear Programming; Chance-Constrained Technique; Interactive Approach.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT