A Solution Approach for a Class of Parametric Linear Programming Problems
Yazarlar (4)
Dr. Öğr. Üyesi Mustafa Sivri Yıldız Teknik Üniversitesi, Türkiye
Prof. Dr. Fatma İnci Albayrak Yıldız Teknik Üniversitesi, Türkiye
Kadriye Şimşek Alan
Yıldız Teknik Üniversitesi, Türkiye
Yıldız Teknik Üniversitesi, Türkiye
Doç. Dr. Gizem Temelcan ERGENECOŞAR Beykoz Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale)
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| Dergi Adı | Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi | ||
| Dergi ISSN | 2146-0574 | ||
| Dergi Tarandığı Indeksler | TR DİZİN | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2020 |
| Kabul Tarihi | 07-06-2020 | Yayınlanma Tarihi | 15-12-2020 |
| Cilt / Sayı / Sayfa | 10 / 4 / 2901–2906 | DOI | 10.21597/jist.690650 |
| Makale Linki | https://doi.org/10.21597/jist.690650 | ||
| UAK Araştırma Alanları |
Uygulamalı Matematik
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| Özet |
| Depending on the nature, objectives, and constraints of the decision variables; linear programming, nonlinear programming, integer programming, mixed integer programming etc. can be classified. Extensive research has been conducted to solve all types of these problems in a parametric context. In this paper, to solve optimization problems having uncertainties represented by a single parameter on the objective function, a systematic linearization approach is developed considering the parametric expression as nonlinear. In the proposed approach, the objective function is considered as nonlinear which is converted into linear by using first order Taylor series expansion at the points making the parametric costs zero. Thus, the optimal solution is obtained from the constructed linear programming problem. In this way, by determining the intervals in which the optimal solution changes, the solution of the parametric linear programming problem is obtained. A numerical experiment is illustrated to present the effectiveness of the proposed approach. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 1 |