Browsing by Author "Rasheed O. Ayinla"

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    Integration of Modified Classical Conjugate Gradient Methods for Unconstrained Optimization
    (Faculty of Science, Borno State University Maiduguri, Nigeria, 2024-02) Oluwaseun B. Onuoha; Yoyinade J, Aborishade; Grace Egenti; Rasheed O. Ayinla
    The integration of modified classical conjugate gradient methods (CGMs) for unconstrained optimization represents a crucial and evolving area of research within the field of optimization algorithms. Over time, numerous studies have put forth diverse modifications and novel approaches to enhance the effectiveness of classical CGMs. These modifications aim to address specific challenges and improve the overall performance of optimization algorithms in unconstrained scenarios. In order to tackle unconstrained optimization challenges and improve our understanding of their synergies, this ongoing study aims to unify different modified classical CGMs. Conventional CGMs have proven effective for optimization tasks, and a range of different approaches have been produced by carefully modifying these techniques. The main goal of this paper is to combine these modified versions, with particular attention to those that have similar numerators. The integration process involves systematically merging the advantageous aspects of these modified methods to develop not only innovative but also more resilient approaches to unconstrained optimization problems. The ultimate goal of this unification effort is to capitalize on the strengths inherent in different approaches to create a cohesive framework that significantly improves overall optimization performance. To thoroughly assess the efficacy of the integrated methods, a series of comprehensive performance tests are conducted. These tests include a meticulous comparison of outcomes with those of classical CGMs, providing valuable insights into the relative strengths and weaknesses of the modified approaches across diverse optimization scenarios. The evaluation criteria encompass convergence rates, solution accuracy, and computational criteria. efficiency. The conclusive outcome demonstrates that the unified approaches consistently outperform individual methods across all three crucial evaluation
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    Optimization of Rice Production: Case study Rabba in Mokwa Local Government Area Nigeria
    (Department of Mathematics, Modibbo Adama University, 2026-03) Tajudeen O. Aliu; Yisa Elisha; Adediran O. Adeshola; Rasheed O. Ayinla
    This research work aimed at optimizing rice production in Nigeria using linear programming approach. Data were collected from Rabba farm in Mokwa Local Government Area of Niger State. Five varieties of rice namely; Gwali (R1), FARO 44, FARO 68, FARO 61 and Ebangichi commonly grown by the farmers in the community were selected for the work. The computation of results to identify the variety of rice with high and low yield was done with the use of MATLAB. The results revealed that both Gwali (R1) and Faro 68 have the tendency of producing higher yield, followed by FARO 61 and Ebangichi, while FARO 44 produced relatively low yield. The maximum profit attained was #14,510,580.89. Sensitivity analysis was carried out to investigate the impact of change in parameter value (price) on the profit of the variety with lower yield (faro 44). The sensitivity analysis revealed also that faro 44 still has the tendency of producing lower yield, with Faro 68 and Gwali (R1) having the tendency to produce higher yield with no significant change in the profit of the farmers. Sequel to this analysis, farmers in the area are encouraged to grow varieties with tendency of higher yield to enhance maximum production with a view to satisfying the demand for rice in the area, and the country at large.