An Evaluation Method of Roundness Error Based on Artificial Bee Colony Algorithm

2011 ◽  
Vol 103 ◽  
pp. 30-34 ◽  
Author(s):  
Xin Jie Wu ◽  
Duo Hao ◽  
Rong Rong Fu ◽  
Chao Xu
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Evaluation Method ◽  
Simple Technique ◽  
Least Square Method ◽  
Least Square ◽  
Roundness Error ◽  
Bee Colony ◽  
Important Index

The roundness error is an important index of mechanical part and its interchangeability, it is the key to quality of product. A new method for calculating the roundness error based on artificial bee colony algorithm has been proposed in this paper. Artificial bee colony algorithm is an evolutionary computation. It has the character of simple technique, easy digital realization and few controlling parameters. Firstly, the basic principle of artificial bee colony algorithm is concisely introduced in this paper. The detailed steps for calculating the roundness error based on artificial bee colony algorithm have been described. Finally experiment results are given. These results have shown that the proposed method can correctly and effectively evaluate roundness error. The proposed method can overcome the local convergence in evaluation of roundness error based on least square method (LSM).

scholarly journals Modelling of Horizontal Flexible Plate Structure Using Artificial Bee Colony Algorithm

2018 ◽  
Vol 7 (4.36) ◽  
pp. 415
Author(s):  
Muhamad Sukri Hadi ◽  
Sukri Hadi Zaurah Mat Darus
Keyword(s):  
System Identification ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Mean Squared Error ◽  
Least Square ◽  
Flexible Plate ◽  
Plate Structure ◽  
Bee Colony ◽  
Squared Error ◽  
Plate System

This paper presents the performance of system identification for modeling the horizontal flexible plate system using artificial bee colony and recursive least square algorithms. Initially, the experimental rig of flexible plate was designed and fabricated with all edges clamped boundary condition at the horizontal position. Then, the instrumentation and data acquisition systems were integrated into the rig for acquiring the input-output vibration experimentally. The collected data in the experiment will be used later for modeling the dynamic system of horizontal flexible plate system using system identification. The effectiveness of the developed model will be validated using mean squared error, one step ahead prediction, correlation tests and pole zero diagram stability. The estimated of the developed models were found are acceptable and possible to be used as a platform of controller development for vibration suppression of the undesirable vibration in the flexible plate structure. It was found that the artificial bee colony algorithm has performed better in this study by achieving the lowest mean squared error, good correlation test and high stability in the pole zero diagram.  

Application of artificial bee colony algorithm for maximizing heat transfer in a perforated fin

2016 ◽  
Vol 232 (1) ◽  
pp. 38-48 ◽  
Author(s):  
Ranjan Das ◽  
Kuljeet Singh ◽  
Bahriye Akay ◽  
TK Gogoi
Keyword(s):  
Heat Transfer ◽  
Surface Area ◽  
Heat Transfer Rate ◽  
Transfer Rate ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Least Square ◽  
Surface Radiation ◽  
Optimal Dimension ◽  
Bee Colony

In this paper, an application of the inverse method based on the artificial bee colony algorithm has been demonstrated for estimating unknown dimensions of a rectangular perforated fin. The analysis has been done to maximize the heat transfer rate for a given volume occupied by the fin. The perforated fin has been assumed to dissipate heat by virtue of natural convection and surface radiation. The least square mismatch between a given volume and an initially guessed one is used to define the objective function that in turn has been minimized using the artificial bee colony algorithm. A comparative study reveals the advantage of the artificial bee colony algorithm against other evolutionary and stochastic optimization methods for the present problem. Since, there exist multiple dimensions satisfying a given volume, so, the most optimal dimension has been identified on the basis of a heat transfer rate maximization criterion. The study reveals that a given amount of heat transfer rate can be achieved with multiple combinations of the fin surface area and even a particular value of surface area can result in different heat transfer rates.

Study of Evaluation Method about the Presswork Quality of Digital Inkjet System

2014 ◽  
Vol 540 ◽  
pp. 512-517
Author(s):  
Chang Xian Cheng ◽  
Yan Mei Liang
Keyword(s):  
High Speed ◽  
Evaluation Method ◽  
Orthogonal Experiment ◽  
Least Square Method ◽  
Least Square ◽  
Affecting Factors ◽  
Print Head ◽  
Machine Communication ◽  
The Mathematical Model

At present, the productivity benefits of inkjet printing technology with high speed shows a rapid expanding trends, however, the precondition of which is its high quality presswork. Therefore, one of the top priorities now is to find better way to evaluate the presswork quality scientifically and effectively. A new parameter, ink dot fidelity, was introduced as an evaluation criterion to study the presswork quality in this paper. The four evident effect factors that fluctuated more during the printing process were chosen, such as the paper transmission speed, the print head (nozzle) voltage, the ink cartridge pressure and the distance between the print head and paper, to make the scientific orthogonal experiment design. The fluctuation rules of the ink dot fidelity corresponding to each effecting factors were obtained through intuitively analyzing of the orthogonal tables and the effect curves. Based on the experiment, the test data were fitted and optimized by using the mathematical analysis software of MATLAB and the least-square method. And then the mathematical model for ink dot fidelity and these affecting factors were created. Finally, the user interface (GUI) design platform was developed to improve the man-machine communication and the ink dot fidelity, or the presswork quality.

scholarly journals Blind Source Separation Based on Covariance Ratio and Artificial Bee Colony Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Lei Chen ◽  
Liyi Zhang ◽  
Yanju Guo ◽  
Yong Huang ◽  
Jingyi Liang
Keyword(s):  
Blind Source Separation ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Source Separation ◽  
Separation Algorithm ◽  
Simulation Experiments ◽  
Bee Colony ◽  
Source Signal ◽  
Source Signals

The computation amount in blind source separation based on bioinspired intelligence optimization is high. In order to solve this problem, we propose an effective blind source separation algorithm based on the artificial bee colony algorithm. In the proposed algorithm, the covariance ratio of the signals is utilized as the objective function and the artificial bee colony algorithm is used to solve it. The source signal component which is separated out, is then wiped off from mixtures using the deflation method. All the source signals can be recovered successfully by repeating the separation process. Simulation experiments demonstrate that significant improvement of the computation amount and the quality of signal separation is achieved by the proposed algorithm when compared to previous algorithms.

A Memetic Artificial Bee Colony Algorithm for High Dimensional Problems

2020 ◽  
Vol 19 (01) ◽  
pp. 2050008
Author(s):  
Dongli Jia ◽  
Teng Li ◽  
Yufei Zhang ◽  
Haijiang Wang
Keyword(s):  
Local Search ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Search Space ◽  
Small Region ◽  
High Dimensional ◽  
Large Space ◽  
Bee Colony ◽  
Local Search Strategy

This work proposed a memetic version of Artificial Bee Colony algorithm, or called LSABC, which employed a “shrinking” local search strategy. By gradually shrinking the local search space along with the optimization process, the proposed LSABC algorithm randomly explores a large space in the early run time. This helps to avoid premature convergence. Then in the later evolution process, the LSABC finely exploits a small region around the current best solution to achieve a more accurate output value. The optimization behavior of the LSABC algorithm was studied and analyzed in the work. Compared with the classic ABC and several other state-of-the-art optimization algorithms, the LSABC shows a better performance in terms of convergence rate and quality of results for high-dimensional problems.

scholarly journals A Novel Multi-Population Artificial Bee Colony Algorithm for Energy-Efficient Hybrid Flow Shop Scheduling Problem

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2421
Author(s):  
Yandi Zuo ◽  
Zhun Fan ◽  
Tierui Zou ◽  
Pan Wang
Keyword(s):  
Energy Efficient ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Shop Scheduling ◽  
Bee Colony ◽  
Hybrid Flow Shop Scheduling

Considering green scheduling and sustainable manufacturing, the energy-efficient hybrid flow shop scheduling problem (EHFSP) with a variable speed constraint is investigated, and a novel multi-population artificial bee colony algorithm (MPABC) is developed to minimize makespan, total tardiness and total energy consumption (TEC), simultaneously. It is necessary for manufacturers to fully understand the notion of symmetry in balancing economic and environmental indicators. To improve the search efficiency, the population was randomly categorized into a number of subpopulations, then several groups were constructed based on the quality of subpopulations. A different search strategy was executed in each group to maintain the population diversity. The historical optimization data were also used to enhance the quality of solutions. Finally, extensive experiments were conducted. The results demonstrate that MPABC can achieve an outstanding performance on three metrics DIR, c and nd for the considered EHFSP.

Evaluation Method and Simulation Analysis of Gap Roundness Error

2009 ◽  
Vol 16-19 ◽  
pp. 1243-1247
Author(s):  
Lei Zhang ◽  
Ying Zhao ◽  
Dong Rong Zheng ◽  
Ke Zhang
Keyword(s):  
Mathematical Model ◽  
Theoretical Analysis ◽  
Evaluation Method ◽  
Simulation Analysis ◽  
Evaluation Model ◽  
Least Square Method ◽  
Least Square ◽  
Roundness Error ◽  
Measuring Experiment

Theoretical analysis of existing evaluation method of gap roundness error and existing evaluation model of full roundness error is provided. Mathematical model of gap roundness error’s evaluation with least square method is founded based on the evaluation model of full roundness error, which gives a solution of gap roundness error. The results of the simulation analysis and measuring experiment show that mathematical model of gap roundness error’s evaluation with least square method is correct for computing gap roundness error.

Sign in / Sign up

Export Citation Format

Share Document