Nonlinear equations solving with intelligent optimization algorithms: A survey
Nonlinear Equations (NEs), which may usually have multiple roots, are ubiquitous in diverse
fields. One of the main purposes of solving NEs is to locate as many roots as possible …
fields. One of the main purposes of solving NEs is to locate as many roots as possible …
A comprehensive review of renewable energy source on energy optimization of black liquor in MSE using steady and dynamic state modeling, simulation and control
Increasing energy demand, high energy cost and global warming issues require energy-
intensive industries to make sincere efforts to improve energy efficiency. The energy …
intensive industries to make sincere efforts to improve energy efficiency. The energy …
[BUCH][B] The theory and applications of iteration methods
IK Argyros - 2022 - taylorfrancis.com
The theory and applications of Iteration Methods is a very fast-develo** field of numerical
analysis and computer methods. The second edition is completely updated and continues to …
analysis and computer methods. The second edition is completely updated and continues to …
New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on Hessian matrix inversion
Nonlinear optimization problems with dynamical parameters are widely arising in many
practical scientific and engineering applications, and various computational models are …
practical scientific and engineering applications, and various computational models are …
Finding multiple roots of nonlinear equation systems via a repulsion-based adaptive differential evolution
Finding multiple roots of nonlinear equation systems (NESs) in a single run is one of the
most important challenges in numerical computation. We tackle this challenging task by …
most important challenges in numerical computation. We tackle this challenging task by …
Hybridization of grasshopper optimization algorithm with genetic algorithm for solving system of non-linear equations
MA El-Shorbagy, AM El-Refaey - IEEE Access, 2020 - ieeexplore.ieee.org
A novel algorithm for optimization in this article, called hybrid grasshopper optimization
algorithm (GOA) with genetic algorithm (GA): hybrid-GOA-GA, is proposed for solving the …
algorithm (GOA) with genetic algorithm (GA): hybrid-GOA-GA, is proposed for solving the …
Improved salp swarm algorithm combined with chaos
MA Tawhid, AM Ibrahim - Mathematics and Computers in Simulation, 2022 - Elsevier
A recently developed metaheuristic optimization algorithm, Salp Swarm Algorithm (SSA),
has manifested its capability in solving various optimization problems and many real-life …
has manifested its capability in solving various optimization problems and many real-life …
A novel bat algorithm based on differential operator and Lévy flights trajectory
J **e, Y Zhou, H Chen - Computational intelligence and …, 2013 - Wiley Online Library
Aiming at the phenomenon of slow convergence rate and low accuracy of bat algorithm, a
novel bat algorithm based on differential operator and Lévy flights trajectory is proposed. In …
novel bat algorithm based on differential operator and Lévy flights trajectory is proposed. In …
[HTML][HTML] New robust hybrid Jarratt-Butterfly optimization algorithm for nonlinear models
The nonlinear system of equations (NSE) is the basis of many engineering and scientific
models. However, these models must have accurate solutions to be successful. Several …
models. However, these models must have accurate solutions to be successful. Several …
Solving nonlinear equations systems with an enhanced reinforcement learning based differential evolution
Z Liao, S Li - Complex System Modeling and Simulation, 2022 - ieeexplore.ieee.org
Nonlinear equations systems (NESs) arise in a wide range of domains. Solving NESs
requires the algorithm to locate multiple roots simultaneously. To deal with NESs efficiently …
requires the algorithm to locate multiple roots simultaneously. To deal with NESs efficiently …