A Novel Solution Approach using Linearization Technique for Nonlinear Programming Problems
Yazarlar (3)
Dr. Öğr. Üyesi Mustafa Sivri Yıldız Teknik Üniversitesi, Türkiye
Prof. Dr. Fatma İnci Albayrak Yıldız Teknik Üniversitesi, Türkiye
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR İstanbul Aydın Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
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| Dergi Adı | International Journal of Computer Applications | ||
| Dergi ISSN | 0975-8887 | ||
| Dergi Tarandığı Indeksler | DOAJ, Google Scholar, Informatics, ProQuest, Scientific Commons | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2018 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 14-08-2018 |
| Cilt / Sayı / Sayfa | 181 / 12 / 1–5 | DOI | 10.5120/ijca2018917703 |
| Makale Linki | https://www.ijcaonline.org/archives/volume181/number12/29821-2018917703/ | ||
| UAK Araştırma Alanları |
Uygulamalı Matematik
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| Özet |
| In this paper, a novel solution approach for solving the nonlinear programming (NLP) problems having m nonlinear algebraic inequality (equality or mixed) constraints with a nonlinear algebraic objective function in n variables using linearization technique is presented. This approach performs successive increments to find a solution of the NLP problem, based on the optimal solutions of linear programming (LP) problems, satisfying the nonlinear constraints oversensitively. In the proposed approach, the original problem is converted to the LP problem using increments in the linearization process and the impact of computational efficiency makes the performance of the solution well. It is presented that how the solution approach can be applied to solve the illustrated examples from the literature. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 5 |