Browsing by Author "Aderinto, Y. O."

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    Characterization of Optimal Control Model of Sorghum Production
    (Islamic University, Uganda, 2020) Aderinto, Y. O.; Issa, T. L.; Afolabi, A. O.; Aliu, T. O.
    In this work, an optimal control model of sorghum production with all the possible threats at every stages was formulated with the use of biological and botanical controls to maximize sorghum production. The model was characterized through optimal control approach and numerical implication was carried out using fourth order Runge-Kutta method. The results show that for optimum production the two controls must be implemented.
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    Corner Rules Method of Solving Transportation Problem
    (Earthline Publisher, 2022-07-07) Aliu, T.O.; Aderinto, Y. O.; Issa, K.
    Several approaches have been advanced for solving transportation problems. The most prominent of them in various text being, North West Corner Rule(NWCR), Least Cost Method(LCM), and Vogel’s Approximation Method(VAM). This paper considered three additional corner rules, which are North East Corner Rule(NECR), South West Corner Rule(SWCR) and South East Corner Rule(SECR). Algorithms ware provided for obtaining initial feasible solution to Transportation Problems. Three test examples were considered using the rules. The results revealed that the NECR and SWCR have equal result. While NWCR and SECR also produce the same result. NECR and SWCR however, better minimize transportation cost. The two methods are therefore recommended for use in any business organization requiring shipment of products.
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    Qualitative Study of Biological Pest Control System
    (Asian Journal of Mathematics and Statistics, 2012-11-23) Aderinto, Y. O.; Bamigbola, O.M.; Jimoh,F.M.; Ganiyu, M.A.; Aliu, T.
    Agricultural pests are the insects that feed on crops and damaged them. Most current agricultural pest control methods focused on chemical insecticides. Research works have shown that these chemicals have many disastrous consequences. However, effective control of these pests can be obtained through the use of living organisms to reduce the density of pest below economic damaging level and this is refers to as biological pest control. If a mathematical model for the biological system is provided, then the effects of such pests can be controlled by the methods of optimal control theory. In this study, the biological control of agricultural pest system via optimal control theory approach was qualitatively studied. In an attempt to minimize the pest population below injury level and stabilize the natural enemies’ population. The system was analysed, equilibrium point for the system was determined, stability and economic loss free equilibrium was equally established. Numerical values were employed to check for the validity of the method and the result was found to be effective.