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Liong, C.Y., Wan, R.I. and Mourad, Z. (2006) Application of Genetic Algorithm in a Special Quadratic Assignment Problem. Proceedings of 2nd IMT-GT Regional Conference on Mathematics, Statistics and Applications, Penang, 13-15 June.

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• TITLE: An Optimal Assignment Schedule of Staff-Subject Allocation

  AUTHORS: Suleiman Kabiru, Bello Malam Saidu, Abdullahi Zubairu Abdul, Uba Ahmad Ali

  KEYWORDS: Assignment, Schedule, Optimal Allocation, Hungarian Method, LINGO Technique

  JOURNAL NAME: Journal of Mathematical Finance, Vol.7 No.4, September 30, 2017

  ABSTRACT: This research is an optimal allocation of assignment schedule in science subjects. Two methods of assignment problem were used, namely; the Hungarian method (Algorithm) and Linear interactive & discrete optimization (LINGO) technique. The results from both methods yielded the same optimal outcome. It reveals that the total minimum opportunity that will maximize the educational quality is 84 and the total maximum effectiveness that will maximize the educational quality is 416. Therefore, we recommend to the school management to adopt these methods in staff-subject allocation schedule to science, management and arts subjects for optimal benefits. Accordingly, the government should also apply the findings of this research to other schools.