A Taguchi-Based Heterogeneous Parallel Metaheuristic ACO-PSO and Its FPGA Realization to Optimal Polar-Space Locomotion Control of Four-Wheeled Redundant Mobile Robots

This paper presents an efficient Taguchi-based heterogeneous parallel metaheuristic ant colony optimization (ACO)-particle swarm optimization (PSO), called THPACOPSO, and its field-programmable gate array (FPGA) realization to optimal polar-space locomotion control of four-wheeled redundant mobile r...

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Published inIEEE transactions on industrial informatics Vol. 11; no. 4; pp. 915 - 922
Main Author Huang, Hsu-Chih
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.08.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1551-3203
1941-0050
DOI10.1109/TII.2015.2440173

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Abstract This paper presents an efficient Taguchi-based heterogeneous parallel metaheuristic ant colony optimization (ACO)-particle swarm optimization (PSO), called THPACOPSO, and its field-programmable gate array (FPGA) realization to optimal polar-space locomotion control of four-wheeled redundant mobile robots. This THPACOPSO consists of one slave Taguchi-based ACO (TACO) and one slave Taguchi-based PSO (TPSO) along with a master communication operator in one chip using system-on-a-programmable chip (SoPC) methodology. This approach takes the advantages of the Taguchi quality method, ACO, PSO, parallel processing, and FPGA technique, thereby obtaining better population diversity, avoiding premature convergence and keeping parallelism. Experimental results and comparative works are conducted to present effective optimization and high accuracy of the proposed FPGA-based THPACOPSO locomotion controller for four-wheeled Swedish redundant mobile robots.
AbstractList This paper presents an efficient Taguchi-based heterogeneous parallel metaheuristic ant colony optimization (ACO)-particle swarm optimization (PSO), called THPACOPSO, and its field-programmable gate array (FPGA) realization to optimal polar-space locomotion control of four-wheeled redundant mobile robots. This THPACOPSO consists of one slave Taguchi-based ACO (TACO) and one slave Taguchi-based PSO (TPSO) along with a master communication operator in one chip using system-on-a-programmable chip (SoPC) methodology. This approach takes the advantages of the Taguchi quality method, ACO, PSO, parallel processing, and FPGA technique, thereby obtaining better population diversity, avoiding premature convergence and keeping parallelism. Experimental results and comparative works are conducted to present effective optimization and high accuracy of the proposed FPGA-based THPACOPSO locomotion controller for four-wheeled Swedish redundant mobile robots.
Author Hsu-Chih Huang
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CODEN ITIICH
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SubjectTerms Ant colony optimization
Arrays
Chips
Field programmable gate arrays
FPGA
Heuristic methods
Kinematics
Locomotion
Meta
metaheuristic
Mobile robots
Optimization
Program processors
Redundant
redundant control
Robots
SoPC
Trajectory
Title A Taguchi-Based Heterogeneous Parallel Metaheuristic ACO-PSO and Its FPGA Realization to Optimal Polar-Space Locomotion Control of Four-Wheeled Redundant Mobile Robots
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