An Improved Arithmetic Optimization Algorithm for Numerical Optimization Problems

The arithmetic optimization algorithm is a recently proposed metaheuristic algorithm. In this paper, an improved (IAOA) based on the population control strategy introduced to solve numerical problems. By classifying and adaptively controlling number of individuals in subpopulation, information each individual can be used effectively, which speeds up find optimal value, avoids falling into local optimum, improves accuracy solution. performance IAOA evaluated six systems nonlinear equations, ten integrations, engineering results show that outperforms other algorithms terms convergence speed, accuracy, stability, robustness.