Affiliation:
1. KCG College of Technology, India
Abstract
This study investigates the application of simulation-driven metaheuristic algorithms to enhance agricultural operations, specifically focusing on their effectiveness and efficiency in addressing the complexities of modern agricultural systems. This study evaluates the computational efficacy of metaheuristic algorithms in crop planning, resource allocation, and decision-making using a simulation environment specifically tailored for agricultural contexts. Efficiency parameters, such as execution time, convergence rate, and scalability, offer valuable insights into the algorithms' effectiveness in real-world agricultural contexts. Effectiveness evaluation analyze the quality, resilience, and variety of proposed techniques, demonstrating their potential to react to changing environmental circumstances. Statistical analysis is employed to give proof for the observed variances in performance, hence providing a quantitative aspect to the evaluation.