Prediction method based on optimization theory and its application

Li, Chen; Wei, Fajie; Zhou, Shenghan

doi:10.3934/dcdss.2015.8.1213

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…A toilet simulation model was built based on the actual shape and size of a jet siphon toilet to ensure that the simulation conditions were consistent with the actual flushing process of the real model, as shown in Figure 1. Although the created toilet model was somewhat simplified, it retained all the structures that affect the water flow [8].…”

Section: D Simulation Modelmentioning

confidence: 99%

Untitled

2020

J. Eng. Technol. Sci.

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The shape of a toilet siphon pipe was characterized by six shape parameters to facilitate study. •Under one single shape parameter, a toilet can obtain good flushing performance when the climbing angle, the arc width, the arc height, the pipe diameter, the climbing width, and the climbing height are 48°, 45 mm, 210 mm, 50 mm, 90 mm, and 30 mm, respectively. •The flushing performance of a toilet is not proportional to the siphon pipe diameter under the condition of the same water consumption.

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Section: D Simulation Modelmentioning

confidence: 99%

Untitled

2020

J. Eng. Technol. Sci.

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“…In order to distribute the initial population more evenly and improve the quality of the initial solution of the algorithm, the chaotic random number is introduced into the basic TLBO. Chaos has the characteristics of traversal, randomness and regularity, and it is obtained through a deterministic equation [11]. The initial solution sequence generated by logistic chaotic [12] mapping is presented as formula (3) and (4).…”

Section: Chaos Initializationmentioning

confidence: 99%

An Improved Teaching-Learning-Based Optimization Algorithm for Sphericity Error Evaluation

Yang¹,

Li²,

Gu³

2018

Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

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In order to improve the accuracy and the convergence speed of the sphericity error, an improved teaching and learning algorithm is proposed to evaluate the sphericity error. Based on the basic teaching-learning-based optimization, the initial solution quality is improved by logistic chaotic initialization; At the end of each iteration, the interpolation algorithm is applied to the global optimal solution to further improve the search accuracy of the algorithm. Finally, one group of sphericity error algorithm though the measurement data in the related literature is verified the effectiveness of the ITLBO, the test result show that the ITLBO algorithm has advantages in the calculating accuracy and iteration convergence speed, and it is very suitable for the application in the sphericity error evaluation. by genetic algorithm [2], Wen used the immune evolutionary algorithm to the evaluation of sphericity error [3], Hu applied the improved particle swarm optimization method to assess the sphericity error accurately [4], Luo used artificial bee colony algorithm to solve the sphericity error of the measured parts[5], Lei respectively used mesh search algorithm [6] and the geometric approximation algorithm [7] to evaluate the accuracy of sphericity error, Liu constructed the geometrical model of spherical error by the method of chord truncation, and it can obtain the spherical error accurately [8]. In the above sphericity error evaluation algorithm, the intelligent

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“…To make the initial solution more uniformly distributed and improve the quality of the initial solution, the chaotic initialization is applied to the standard HS. Chaos sequence has the advantages of traversal, randomness, and regularity, and it can be obtained by a definite equation [27]. e sequence of initial solution generated by logistic chaotic [28] mapping is proposed as…”

Section: Chaos Initializationmentioning

confidence: 99%

Cylindricity Error Evaluation Based on an Improved Harmony Search Algorithm

Yang

Wang

et al. 2018

Scientific Programming

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The cylindricity error is one of the basic form errors in mechanical parts, which greatly influences the assembly accuracy and service life of relevant parts. For the minimum zone method (MZM) in international standards, there is no specific formula to calculate the cylindricity error. Therefore, the evaluation methods of the cylindricity error under the MZM have been widely concerned by international scholars. To improve the evaluation accuracy and accelerate the iteration speed of the cylindricity, an improved harmony search (IHS) algorithm is proposed and applied to compute the cylindricity. On the basis of the standard harmony search algorithm, the logistic chaotic initialization is introduced into the generation of initial solution to improve the quality of solutions. During the iterative process, the global and local search capabilities are balanced by adopting the par and bw operators adaptively. After each iteration, the Cauchy mutation strategy is adopted to the best solution to further improve the calculation precision of the IHS algorithm. Finally, four test functions and three groups of cylindricity error examples were applied to validity verification of the IHS algorithm, the simulation test results show that the IHS algorithm has advantages of the computing accuracy and iteration speed compared with other traditional algorithms, and it is very effective for the application in the evaluation of the cylindricity error.

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Prediction method based on optimization theory and its application

Cited by 5 publications

References 13 publications

Untitled

Untitled

An Improved Teaching-Learning-Based Optimization Algorithm for Sphericity Error Evaluation

Cylindricity Error Evaluation Based on an Improved Harmony Search Algorithm

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