A New Solution Approach for Non-Linear Equation Systems with Grey Wolf Optimizer
Journal: Sakarya University Journal of Computer and Information Sciences (Vol.1, No. 3)Publication Date: 2018-12-18
Authors : Pakize Erdoğmuş;
Page : 1-11
Keywords : Non-linear equation systems; heuristic methods; constrained optimization;
Abstract
The aim of this study is to bring a new perspective for the solutions of non-linear equation systems. So this study handles the non-linear equation systems as a constrained optimization problem, while generally is handled unconstrained optimization problem or multi objective optimization problem. The object is to minimize the sum of the squares of nonlinear equations under the nonlinear equality constraints. A recently developed heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is proposed for the solution of nonlinear equation systems. Two results were obtained. Firstly, it has been seen that GWO can be an alternative solution technique for the solution of nonlinear equation systems. Secondly, modelling the systems of nonlinear equations as constrained optimization gives better results.
Other Latest Articles
- The Impact of Capital Subsidy Incentive on Renewable Energy Deployment in Long-Term Power Generation Expansion Planning
- Design of Modular FMCW Radar and Quantization of Its Range Error
- A Study on Brain Computer Interface using Learning Vector Quantization
- A Study on Brain Computer Interface using Learning Vector Quantization
- İnsansız Hava Araçlarının (İHA) Sanal Gerçeklik Yazılımı ile Modellenmesi ve Farklı Kullanıcılar için Performans Analizleri
Last modified: 2019-02-20 17:50:13