scholarly journals A Comparative Study using Bio-Inspired Optimization Methods Applied to Controllers Tuning

10.5772/38973 ◽  
2012 ◽  
Author(s):  
Davi Leonardo de Souza ◽  
Fran Sergio ◽  
Rubens Gedraite
Keyword(s):  
Comparative Study ◽  
Optimization Methods

Comparative Study on Layered Light-Field Displays and Optimization Methods

2019 ◽  
pp. 1073 ◽  
Author(s):  
Keita Maruyama ◽  
Keita Takahashi ◽  
Toshiaki Fujii ◽  
Munekazu Date ◽  
Hideaki Kimata
Keyword(s):  
Comparative Study ◽  
Light Field ◽  
Optimization Methods

scholarly journals Comparative Study on the Optimization Methods for a Motor Drive of Artificial Hearts

2012 ◽  
Vol 7 (2) ◽  
pp. 193-199 ◽  
Author(s):  
Andre Pohlmann ◽  
Marc LeBmann ◽  
Kay Hameyer
Keyword(s):  
Comparative Study ◽  
Optimization Methods ◽  
Motor Drive ◽  
Artificial Hearts

A Comparative Study on the Pick-and-Place Trajectories for a Delta Robot

2016 ◽  
Author(s):  
Zexiao Xie ◽  
Peixin Wu ◽  
Ping Ren
Keyword(s):  
Comparative Study ◽  
High Speed ◽  
Computation Time ◽  
Optimization Methods ◽  
Terminal State ◽  
Industrial Robots ◽  
Piecewise Polynomials ◽  
Pick And Place ◽  
Dynamic Performances ◽  
Delta Robot

A comparative study on the pick-and-place trajectories for high-speed Delta robots is presented in this paper. The Adept Cycle has been widely accepted as a standardized pick-and-place trajectory for industrial robots. The blending curves and optimization methods to smooth this trajectory are briefly surveyed. Three major types of trajectories: Lamé curves, clothoids and piecewise polynomials, are selected as candidates to be compared. The processes to generate these trajectories are briefly reviewed. The trajectories are firstly compared in term of their computation time. Then, based on a dynamic model and an experimental prototype of the Delta robot, different combinations of the geometric paths and motion profiles are compared in terms of power consumption, terminal state accuracy and residual vibration. The effects of trajectory configurations and parameters on the robot’s dynamic performances are investigated. Through a comprehensive analysis on both simulation and experimental results, a near-optimal pick-and-place trajectory for the Delta robot is identified and validated.

Review on the Comparative Study of Optimization Methods for Thermal Devices

2018 ◽  
Vol 59 (2) ◽  
pp. 117-121
Author(s):  
Bopanna K D ◽  
◽  
Abhishek Mamidi ◽  
Aka rsh R ◽  
Neil George ◽  
...  
Keyword(s):  
Comparative Study ◽  
Optimization Methods ◽  
The Comparative Study

scholarly journals A comparative study of optimization methods and conventional methods for sampling design in fishery-independent surveys

2009 ◽  
Vol 66 (9) ◽  
pp. 1873-1882 ◽  
Author(s):  
Yong Liu ◽  
Yong Chen ◽  
Jiahua Cheng
Keyword(s):  
Comparative Study ◽  
Sample Size ◽  
Simulation Study ◽  
Sampling Design ◽  
Optimization Methods ◽  
The Other ◽  
Optimal Sampling ◽  
Optimal Sampling Design ◽  
Conventional Methods ◽  
Better Than

Abstract Liu, Y., Chen, Y., and Cheng, J. 2009. A comparative study of optimization methods and conventional methods for sampling design in fishery-independent surveys. – ICES Journal of Marine Science, 66: 1873–1882. We have introduced and evaluated a procedure, the constrained spatial simulated annealing method, for developing an optimal sampling design for fishery-independent surveys. We used two criterion functions, minimization of the mean of the shortest distance (MMSD) and uniform distribution of point pairs for variogram estimation (WM), and three arrangements of the two criteria, all WM, all MMSD, and a combination of MMSD (2/3 of samples) and WM (1/3), to construct three optimized sampling designs (denoted as Designs I, II, and III, respectively). These three designs were compared in a simulation study with systematic sampling (Design IV) and stratified random sampling designs (Design V), commonly used in fishery-independent surveys. Three levels of sample size (small, medium, and large) were considered in the simulation study developed using a geostatistical approach. The results showed that for parameter estimation of the spatial covariance function, Design III was better than the other designs at relatively small sample size and Design II performed better than the other designs at relatively large sample size. For estimating fish stock abundance, the performance of the designs considered in this study can be ranked as follows: Design II > Design IV > Design III > Design V > Design I. It is clearly important to evaluate and improve sampling design based on historical survey data. Such a study allows us to identify an optimal sampling design to balance the quality of the data collected and the costs of the sampling programme, leading to the development and optimization of a sustainable and fishery-independent monitoring programme.

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