An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems

In this paper, an improved gradient-based optimizer (IGBO) is proposed with the target of improving performance and accuracy algorithm for solving complex optimization engineering problems. The IGBO has added features adjusting best solution by adding inertia weight, fast convergence rate modified parameters, as well avoiding local optima using a novel functional operator (G). These make it feasible majority nonlinear problems which quite hard to achieve original version GBO. effectiveness scalability are evaluated well-known benchmark functions. Moreover, statistically analyzed ANOVA analysis, Holm–Bonferroni test. addition, was assessed real-world results functions show that very competitive, superior compared its competitors in finding optimal solutions high coverage. studied real prove superiority difficult indefinite search domains.