An Iterative Model as a Tool in Optimal Allocation of Resources in University Systems
In this paper, a study was carried out to aid in adequate allocation of resources in the College of Natural Sciences, TYZ University (not real name because of ethical issue). Questionnaires were administered to the high-ranking officials of one the Colleges, College of Pure and Applied Sciences, to examine how resources were allocated for three consecutive sessions(the sessions were 2009/2010, 2010/2011 and 2011/2012),then used the data gathered and analysed to generate contributory inputs for the three basic outputs (variables)formed for the purpose of the study. These variables are: represents the quality of graduates produced; stands for research papers, Seminars, Journals articles etc. published by faculties and denotes service delivery within the three sessions under study. Simplex Method of Linear Programming was used to solve the model formulated.
 Jan Kolowski. (1992). Optimal allocation of resources to growth and reproduction, TREE, 7(1), 15-19.
 Richards Mason & Burton Swanson. (1979). Measurement for management and decision. Available at: https://journals.sagepub.com/doi/abs/10.2307/41165309.
 Huiankai Chen, Frank Wang, & Na Helian. (2013). A cost-efficient and reliable resource allocation model based on cellular automation entropy for cloud project scheduling. International Journal of Advanced Computer Science and Application, 4(4), 7-14.
 Connor Andy M. & Shah Amit. (2014). Resource allocation using metaheuristic search. Available at: https://airccj.org/CSCP/vol4/csit41930.pdf.
 Joiner Kate. (2009). A mathematical model to determine the optimal structure for allocating resource packages: A case study. Publication of Journal on Academic Medicine, 84, 13-25.
 Tarek, Hegazy. (1999). Optimisation of resource allocation and leveling using genetic algorithms. Journal of Construction Engineering and Management, 125(3), 167-175. http://dx.doi.org/10.1061/(ASCE)0733-9364(1999)125:3(167) )
 Connor, A.M. & Tilley, D.G. (1999). A tabu search method for the optimisation of fluid power circuits. IMechE Journal of Systems and Control, 212(5), 373-381.
 Elbeltagi, E., Hegazy, T., & Grierson, D. (2005). Comparison among five evolutionary-based optimization algorithms. Advanced Engineering Informatics, 19(1), 43-53.
 Feng, C.-W., Liu, L., & Burns, S. A. (1997). Using genetic algorithms to solve construction time cost trade-off problems. Journal of Computing in Civil Engineering, 11(3), 184-189.