Solution of Nonlinear Systems of Equations via Metaheuristics
A framework devoted to the solution of nonlinear systems of equations using grey wolf optimization algorithm (GWO) and a multi-objective particle swarm optimization algorithm (MOPSO) is presented in this work. Due to several numerical issues and very high computational complexity, it is hard to find...
Main Authors: | Sangeeta Pant, Anuj Kumar, Mangey Ram |
---|---|
Format: | Article |
Language: | English |
Published: |
Ram Arti Publishers
2019-10-01
|
Series: | International Journal of Mathematical, Engineering and Management Sciences |
Subjects: | |
Online Access: | https://www.ijmems.in/assets//88-IJMEMS-19-30-Vol.%204,%20No.%205,%201108%E2%80%931126,%202019.pdf |
Similar Items
-
Grey wolf optimizer: Overview, modifications and applications
by: Saman M. Almufti, et al.
Published: (2021-08-01) -
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles
by: Hossein Moayedi, et al.
Published: (2019-10-01) -
Application of XGB-based metaheuristic techniques for prediction time-to-failure of mining machinery
by: Mohammad Mirzehi Kalateh Kazemi, et al.
Published: (2023-12-01) -
Modified Grey Wolf Optimizer with Parasitism Phase
by: Ali Nadi ÜNAL, et al.
Published: (2021-07-01) -
Improved Feature Selection Model for Big Data Analytics
by: Ibrahim M. El-Hasnony, et al.
Published: (2020-01-01)