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Conic Optimization Reformulation for the Continuous Center Location Problem under Uncertainty | ||
Computational Sciences and Engineering | ||
دوره 1، شماره 1، تیر 2021، صفحه 79-89 اصل مقاله (311.41 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.22124/cse.2021.19401.1009 | ||
نویسنده | ||
Ali Jamalian* | ||
Department of Computer science, Faculty of Mathematical sciences, University of Guilan, Rasht, Iran | ||
چکیده | ||
In this paper, we consider the Euclidean continuous minimax location problem under uncertainty. We consider the single-facility and the multi-facility case with uncertain location of demand points and uncertain transportation costs. We study these two problems under two kinds of uncertainty, the interval and the ellipsoidal uncertainty. Equivalent formulations of robust counterparts of the single facility and multi facility Euclidean continuous minimax location problems under interval and ellipsoidal uncertainty are given as conic optimization problems. | ||
کلیدواژهها | ||
Continuous Minimax Location Problem؛ Robust Optimization؛ Second-Order Cone Programming؛ Semidefinite Programming | ||
مراجع | ||
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