Finding properly efficient solutions of nonconvex multiobjective optimization problems with a minimum bound for trade-offs | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 20، دوره 15، شماره 5، مرداد 2024، صفحه 239-245 اصل مقاله (349.43 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.29577.4197 | ||
| نویسندگان | ||
| Narges Hoseinpoor1؛ Mehrdad Ghaznavi* 2 | ||
| 1Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran | ||
| 2Faculty of Mathematical Sciences, shahrood University of Technology, Shahrood, Iran | ||
| چکیده | ||
| In the presented paper, we investigate efficient solutions to optimization problems with multiple criteria and bounded trade-offs. A nonlinear optimization problem to find the relationships between the upper bound for trade-offs and objective functions is presented. Due to this problem, we determine some properly efficient points that are closer to the ideal point. To this end, we apply the extended form of the generalized Tchebycheff norm. Note that all the presented results work for general problems and no convexity assumption is needed. | ||
| کلیدواژهها | ||
| Multiobjective programming؛ Tchebycheff norm؛ Trade-off؛ Proper efficiency | ||
| مراجع | ||
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