A state-of-the-art review on robotic milling of complex parts with high efficiency and precision
W Wang, Q Guo, Z Yang, Y Jiang, J Xu - Robotics and Computer-Integrated …, 2023 - Elsevier
Milling refers to a class of material processing methods that relies on a high-speed rotating
milling cutter removing extra material to get desired shapes and features. Being distinct from …
milling cutter removing extra material to get desired shapes and features. Being distinct from …
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 …
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 …
Design, simulation, comparison and evaluation of parameter identification methods for an industrial robot
C Urrea, J Pascal - Computers & electrical engineering, 2018 - Elsevier
This study discusses the design and assessment of different parameter identification
methods applied to robot systems, such as least squares, extended Kalman filter, Adaptive …
methods applied to robot systems, such as least squares, extended Kalman filter, Adaptive …
Locating multiple optimal solutions of nonlinear equation systems based on multiobjective optimization
Nonlinear equation systems may have multiple optimal solutions. The main task of solving
nonlinear equation systems is to simultaneously locate these optimal solutions in a single …
nonlinear equation systems is to simultaneously locate these optimal solutions in a single …
A hybrid approach for solving systems of nonlinear equations using harris hawks optimization and newton's method
Systems of nonlinear equations are known as the basis for many models of engineering and
data science, and their accurate solutions are very critical in achieving progress in these …
data science, and their accurate solutions are very critical in achieving progress in these …
A weighted biobjective transformation technique for locating multiple optimal solutions of nonlinear equation systems
Due to the fact that a nonlinear equation system (NES) may contain multiple optimal
solutions, solving NESs is one of the most important challenges in numerical computation …
solutions, solving NESs is one of the most important challenges in numerical computation …
[HTML][HTML] Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations
This study proposes a novel chaotic quantum behaved particle swarm optimization
algorithm for solving nonlinear system of equations. Different chaotic maps are introduced to …
algorithm for solving nonlinear system of equations. Different chaotic maps are introduced to …
Solving nonlinear equation systems by a two-phase evolutionary algorithm
A two-phase evolutionary algorithm is developed to find multiple solutions of a nonlinear
equations system. It transforms a nonlinear equations system into a multimodal optimization …
equations system. It transforms a nonlinear equations system into a multimodal optimization …
A clustering-based differential evolution with different crowding factors for nonlinear equations system
Solving nonlinear equations systems (NESs) is one of the most important tasks in numerical
computation. It is common that most NESs contain more than one root. Generally, these …
computation. It is common that most NESs contain more than one root. Generally, these …