خوارزمية مطورة لإيجاد الحل الأمثل لمسائل النقل بأقل كلفة ممكنة
Abstract
نقدم في هذه المقالة خوارزمية مطورة لإيجاد الحل الأمثل لمسائل النقل بأقل كلفة ممكنة.
تتضمن هذه الخوارزمية مبرهنة أساسية مهمة توضح الشرط اللازم والكافي الذي يتضمن الشروط الواجب تحققها ليكون الحلان النافذان لمسألتي النقل الأولية والثنوية أمثلين.
أخيراً أجرينا تجارب عددية لتوضيح فعالية الخوارزمية المطورة من أجل عدة مسائل, ثم أجرينا دراسة مقارنة بين الخوارزمية المطورة وخوارزميات أخرى تستخدم لحل مسائل النقل.
تبين من النتائج أن الخوارزمية المطورة تعطي الحل الأمثل بأقل كلفة ممكنة وبشكل أسرع من
الخوارزميات المدروسة.
In this paper we introduce a developed algorithm to find the optimal solution for the transportation problems with the least possible cost. This algorithm contains an essential theorem that demonstrates the necessary and sufficient situation that includes the conditions needed in order to get the feasible solution of primal and dual transportation problems.
At last, we had numerical experiments to illustrate the efficacy of the developed algorithm for many problems, and we compared this developed algorithm with other algorithm to solve the transportation problems.
Results showed that the developed algorithm gives the optimal solution with the least possible cost and in a way faster than any other studied algorithm.
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