Solving Nonlinear Optimization Problems Using IUMDE Algorithm

A lot of science and engineering problems are nonlinear in nature. Due to various limitations of the traditional methods, we need some robust and efficient non-traditional techniques to solve these nonlinear and complex problems. In the current study, a new variant of differential evolution (DE) algorithm named information utilization-based modified differential evolution (IUMDE) algorithm is proposed. Further the proposed variant is implemented on six benchmark problems which are taken from literature. Experiments, results, and comparison confirm the competence and effectiveness of the proposed variant algorithm over the others.