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Developing a New Robust Swarm-Based Algorithm for Robot Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11785231_48openalex-snapshot
Adaptive Inertia Weight Particle Swarm Optimization
inferredcites →https://doi.org/10.1007/978-3-030-11292-9_17openalex-snapshot
Auto-tuning of PID Controllers for Robotic Manipulators Using PSO and MOPSO
inferredcites →https://doi.org/10.1007/978-3-030-15235-2_195openalex-snapshot
An Improved Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1007/978-3-319-62428-0_31openalex-snapshot
ABC-PSO: An Efficient Bioinspired Metaheuristic for Parameter Estimation in Nonlinear Regression
inferredcites →https://doi.org/10.1007/978-3-540-24653-4_50openalex-snapshot
Multi-swarm Optimization in Dynamic Environments
inferredcites →https://doi.org/10.1007/978-3-642-13495-1_71openalex-snapshot
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
inferredcites →https://doi.org/10.1007/978-3-642-13495-1_72openalex-snapshot
A Hybrid of Particle Swarm Optimization and Local Search for Multimodal Functions
inferredcites →https://doi.org/10.1007/s00500-004-0420-5openalex-snapshot
Particle swarms and population diversity
inferredcites →https://doi.org/10.1007/s00500-013-0992-zopenalex-snapshot
Particle swarm optimization with expanding neighborhood topology for the permutation flowshop scheduling problem
inferredcites →https://doi.org/10.1007/s11390-012-1284-2openalex-snapshot
Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead
inferredcites →https://doi.org/10.1007/s40815-017-0320-3openalex-snapshot
A Novel TODIM Method-Based Three-Way Decision Model for Medical Treatment Selection
inferredcites →https://doi.org/10.1016/j.amc.2006.12.045openalex-snapshot
A modified particle swarm optimizer with dynamic adaptation
inferredcites →https://doi.org/10.1016/j.asoc.2007.01.010openalex-snapshot
On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems
inferredcites →https://doi.org/10.1016/j.cor.2004.08.012openalex-snapshot
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
inferredcites →https://doi.org/10.1016/j.engappai.2019.06.006openalex-snapshot
A hybrid particle swarm optimization for the selective pickup and delivery problem with transfers
inferredcites →https://doi.org/10.1016/j.eswa.2010.09.076openalex-snapshot
Dynamic identification of Staubli RX-60 robot using PSO and LS methods
inferredcites →https://doi.org/10.1016/j.ins.2014.11.017openalex-snapshot
A variant with a time varying PID controller of particle swarm optimizers
inferredcites →https://doi.org/10.1016/j.ins.2014.11.035openalex-snapshot
Structural bias in population-based algorithms
inferredcites →https://doi.org/10.1016/j.ins.2019.06.042openalex-snapshot
A simple PID-based strategy for particle swarm optimization algorithm
inferredcites →https://doi.org/10.1016/j.jare.2014.12.006openalex-snapshot
Task based synthesis of serial manipulators
inferredcites →https://doi.org/10.1016/j.proeng.2012.01.498openalex-snapshot
Research on Identification Method of Kinematics for Space Robot
inferredcites →https://doi.org/10.1016/j.proeng.2013.09.242openalex-snapshot
Inverse Kinematics Using Particle Swarm Optimization, A Statistical Analysis
inferredcites →https://doi.org/10.1109/4235.985692openalex-snapshot
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
inferredcites →https://doi.org/10.1109/cac.2017.8242898openalex-snapshot
Application of genetic algorithm PSO in parameter identification of SCARA robot
inferredcites →https://doi.org/10.1109/cec.1999.785509openalex-snapshot
Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance
inferredcites →https://doi.org/10.1109/cec.2008.4630771openalex-snapshot
DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization
inferredcites →https://doi.org/10.1109/chicc.2006.4347492openalex-snapshot
Self-adaptive PID-Controlled Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/cso.2009.420openalex-snapshot
A Particle Swarm Optimizer with Multi-stage Linearly-Decreasing Inertia Weight
inferredcites →https://doi.org/10.1109/eesco.2015.7253658openalex-snapshot
Particle Swarm Optimization with varying Inertia Weight for solving nonlinear optimization problem
inferredcites →https://doi.org/10.1109/icaica.2019.8873449openalex-snapshot
A Novel Mutating PSO Based Solution For Inverse Kinematic Analysis Of Multi Degree-Of-Freedom Robot Manipulators
inferredcites →https://doi.org/10.1109/icca.2017.8003078openalex-snapshot
Parameters identification of robot manipulator based on particle swarm optimization
inferredcites →https://doi.org/10.1109/icec.1997.592326openalex-snapshot
The particle swarm: social adaptation of knowledge
inferredcites →https://doi.org/10.1109/iros.2015.7353872openalex-snapshot
Using task descriptions for designing optimal task specific manipulators
inferredcites →https://doi.org/10.1109/sis.2003.1202252openalex-snapshot
Watch thy neighbor or how the swarm can learn from its environment
inferredcites →https://doi.org/10.1109/tcyb.2015.2424836openalex-snapshot
Composite Particle Swarm Optimizer With Historical Memory for Function Optimization
inferredcites →https://doi.org/10.1109/tevc.2004.826071openalex-snapshot
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
inferredcites →https://doi.org/10.1109/tfuzz.2014.2360548openalex-snapshot
Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets
inferredcites →https://doi.org/10.1109/tmag.2006.871568openalex-snapshot
Multimodal function optimization based on particle swarm optimization
inferredcites →https://doi.org/10.1109/wcica.2008.4593644openalex-snapshot
Improved PSO-based Multi-Objective Optimization using inertia weight and acceleration coefficients dynamic changing, crowding and mutation
inferredcites →https://doi.org/10.1115/1.4043530openalex-snapshot
A Tree-Shaped Support Structure for Additive Manufacturing Generated by Using a Hybrid of Particle Swarm Optimization and Greedy Algorithm
inferredcites →https://doi.org/10.1145/37401.37406openalex-snapshot
Flocks, herds and schools: A distributed behavioral model
inferredcites →https://doi.org/10.1155/2018/4258676openalex-snapshot
Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN‐PSO
inferredcites →https://doi.org/10.1177/0954406215569589openalex-snapshot
A step identification method of joint parameters of robots based on the measured pose of end-effector
inferredcites →https://doi.org/10.1186/s13638-019-1379-3openalex-snapshot
Antenna array design by a contraction adaptive particle swarm optimization algorithm
inferredcites →https://doi.org/10.1504/ijica.2009.031778openalex-snapshot
Boid particle swarm optimisation
inferredcites →https://doi.org/10.3390/app7100969openalex-snapshot
A Precise Positioning Method for a Puncture Robot Based on a PSO-Optimized BP Neural Network Algorithm
inferredcites →https://doi.org/10.3390/en10020173openalex-snapshot
Parameter Identification with the Random Perturbation Particle Swarm Optimization Method and Sensitivity Analysis of an Advanced Pressurized Water Reactor Nuclear Power Plant Model for Power Systems
inferredcites →https://doi.org/10.3390/math7010103openalex-snapshot
A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis
inferredcites →https://doi.org/10.3390/math7050414openalex-snapshot
An Entropy-Assisted Particle Swarm Optimizer for Large-Scale Optimization Problem
inferredcites →https://doi.org/10.3390/math7060521openalex-snapshot
An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization
inferredcites →https://doi.org/10.3390/math7111051openalex-snapshot
An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Metaheuristics in Modeling Humanoid Robots: A Literature Review
inferred← citeshttps://doi.org/10.1007/s42235-020-0063-yopenalex-snapshot
Extended State Observer based Attitude Control of a Bird-like Flapping-wing Flying Robot
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Green energy mix modeling under supply uncertainty: Hybrid system dynamics and adaptive PSO approach
inferred← citeshttps://doi.org/10.1515/ijnsns-2020-0031openalex-snapshot
Impacts of heuristic parameters in PSO inverse kinematics solvers
inferred← citeshttps://doi.org/10.25046/aj0506174openalex-snapshot
Parameter Estimation for Industrial Robot Manipulators Using an Improved Particle Swarm Optimization Algorithm with Gaussian Mutation and Archived Elite Learning
inferred← citeshttps://doi.org/10.3390/app12115505openalex-snapshot
Improving Particle Swarm Optimization Analysis Using Differential Models
inferred← citeshttps://doi.org/10.3390/math14111892openalex-snapshot
Cost-Based Competition and Market Share Determination: A CES Analytical Framework
inferred← citeshttps://doi.org/10.3390/math8112051openalex-snapshot
Experimental Validation of a Sliding Mode Control for a Stewart Platform Used in Aerospace Inspection Applications
inferred← citeshttps://doi.org/10.3390/w12071955openalex-snapshot
Benefit Evaluation of Water and Soil Conservation Measures in Shendong Based on Particle Swarm Optimization and the Analytic Hierarchy Process
inferred← citeshttps://doi.org/10.4314/njt.v40i4.14openalex-snapshot
Industrial manipulator dynamic parameter estimation using mutating particle swarm optimization (Mupso)
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