| Yazarlar (3) |
Mustafa Sivri
Yıldız Teknik Üniversitesi, Türkiye |
|
Fatma İnci Albayrak
Yıldız Teknik Üniversitesi, Türkiye |
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR
İstanbul Aydın Üniversitesi |
| 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 |
| Makale Türü |
Özgün Makale
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| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| 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 |
| Cilt No | 181 |
| Sayı | 12 |
| Sayfalar | 1 / 5 |
| DOI Numarası | 10.5120/ijca2018917703 |
| Makale Linki | https://www.ijcaonline.org/archives/volume181/number12/29821-2018917703/ |
| Atıf Sayıları | |
| Google Scholar | 5 |
