A mixed Algorithm for Stochastic Multiple Objective Programming Problems Using MATLAB Program

Authors

  • Tarek Abou-El-Enien Department of Operations Research & Decision Support, Faculty of Computers & Artificial Intelligence, Cairo University, Postal Code 12613, Giza, Egypt

Keywords:

chance constrained programming method, weighting method, stochastic parameters, Multiple objective programming problems, MATLAB^®

Abstract

The purpose of this work is to obtain nondominated solutions for stochastic multiple objective programming (SMOP) problems using the chance constrained programming technique and the weighting approach. A mixed algorithm for solving the SMOP problems was proposed. The proposed algorithm was tested. A  program is constructed to solve the SMOP problems. The hybrid algorithm can be used to solve the different SMOP problems and it can also be applied by scientists and engineers. 

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References

Abou-El-Enien T. H. M. (2011). On the solution of a Special Type of Large Scale Integer Linear Vector Optimization Problems with Uncertain Data through TOPSIS approach. International Journal of Contemporary Mathematical Sciences, 6(14): pp. 657 – 669.

Abou-El-Enien T. H. M. (2015). An Interactive Decomposition Algorithm for Two-Level Large Scale Linear Multiobjective Optimization Problems with Stochastic Parameters Using TOPSIS Method. International Journal of Engineering Research and Applications, 5(4) ( Part -2): pp.61-76.

Abou-El-Enien T. H. M. (2018). α-Pareto optimal solutions for fuzzy multiple objective optimization problems using MATLAB, AMSE Journals, Advances in Modelling and Analysis C, 73(2):53-59. https://doi.org/10.18280/ama_c.730204

Abou-El-Enien T. H. M (2018). Pareto optimal solutions for fractional multi-objective optimization problems using MATLAB, AMSE Journals, Advances in Modelling and Analysis C, 73(3):88-90. http//doi.org/10.18280/ama_c.730303

Chankong V. and Haimes Y. Y. (1983). Multiobjective Decision Making: Theory and Methodology. North- Holand. Series in Science and Engineering, New York.

Lopez C.P. (2014). MATLAB Optimization Techniques. Apress Academic, Springer, New York, USA.

Rao S.S. (2009). Engineering Optimization. John Wiley & Sons, Inc., New York.

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Published

2020-12-31

How to Cite

Abou-El-Enien, T. (2020). A mixed Algorithm for Stochastic Multiple Objective Programming Problems Using MATLAB Program. Computer Reviews Journal, 8, 14-19. Retrieved from https://purkh.com/index.php/tocomp/article/view/910

Issue

Vol. 8 (2020)

Section

Research Articles

License

Copyright (c) 2020 Tarek Abou-El-Enien

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.