Nature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation Systems

Abstract

The aim of this article is both to introduce recent published nature-inspired optimization algorithms and to compare the performances of them. Four benchmark test problems(two unimodal, two multimodal) and four nonlinear equations systems were used for the comparison. The results were submitted. It was seen with these test results, we can not say that one of the algorithms outperforms. But all af them can be an alternative for solving the nonlinear equation systems.

Keywords

• nature-inspired optimization algorithms
• nonlinear equation systems
• grey wolf optimization
• ant-lion algorithm
• whale optimization algorithm
• salp swar algorithm