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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: However, the TBM control parameters set based on operator experience may not necessarily be suitableHence, a method to optimize TBM control parameters using an improved loss function-based artificial neuralnetwork (ILF-ANN) combined with quantum particle swarm optimization (QPSO) is proposed herein.Rock mass classes and tunneling parameters obtained in real time are used as the input of the QPSO-ILF-ANN

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

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Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 393-409 doi: 10.1007/s11465-020-0613-3

Abstract: Second, an algorithm called SOS-ACO that combines symbiotic organisms search (SOS) and ant colony optimizationLastly, the performance of SOS-ACO when the given ACO parameters are changed is analyzed through experimentsExperimental results reveal that SOS-ACO has good adaptive capability to various values of given parameters

Keywords： assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter optimization    

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Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract:

This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80In this study, the optimum cutting parameters are obtained by the grey relational analysis.coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

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Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting

Nazim Abdul NARIMAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 66-89 doi: 10.1007/s11709-016-0356-8

Abstract: This paper studies optimization of three design parameters (mass ratio, frequency ratio and damping ratiomass dampers MTMDs that are applied in a cable stayed bridge excited by a strong wind using minimax optimizationThe optimum values of these three parameters are validated with two benchmarks from the literature, firstSobol’s sensitivity indices are calculated for the design parameters in addition to their interactionThe optimization results revealed better performance of the MTMDs in controlling the vertical and the

Keywords： MTMDs     power spectral density     fast Fourier transform     minimax optimization technique     Sobol’s sensitivity    

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Multidisciplinary co-design optimization of structural and control parameters for bucket wheel reclaimer

Yongliang YUAN, Liye LV, Shuo WANG, Xueguan SONG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 406-416 doi: 10.1007/s11465-019-0578-2

Abstract: conventional design strategy, namely, sequential strategy, is structural design followed by control optimizationglobal optimal solution is difficult to achieve because of the discoordination of structural and control parametersaforementioned problem by combining the structural and control system design based on simultaneous dynamic optimizationCo-design strategy is implemented to resolve the optimization problem, and numerical results are comparedThe dynamic response of the BWR is also analyzed with different optimization strategies to evaluate the

Keywords： bucket wheel reclaimer     co-design     energy-minimum optimization     sequential strategy    

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Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 118-126 doi: 10.1007/s11465-013-0253-y

Abstract: To enhance the performance of high speed transfer system of LED chip sorting equipment, its control parametersIn practical issues, it is difficult and time-consuming work to get these parameters matched becauseIn current work, an integrated optimization method was carried out to solve this problem, in which themultiple control parameters optimization, modeling and simulation were included, i.e., a multi-domainoptimization.

Keywords： LED chip sorter     multi-domain modeling and simulation     parameter optimization     modelica language    

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Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 892-900 doi: 10.1007/s11783-012-0440-9

Abstract: Chemical precipitation is a useful technology as a pretreatment to treat mature landfill leachate with high concentrations of ammonium-nitrogen ( ) and refractory organic compounds. Orthogonal experiments and factorial experiments were carried out to determine the optimal conditions enhancing the magnesium ammonium phosphate (MAP) precipitation process, and the experimental results demonstrated that the removal rate of was more than 85% when MgO and NaH PO ·2H O were applied as external sources of magnesium and phosphorous under the optimal conditions that molar ratio n(Mg)∶n(N)∶n(P) = 1.4∶1∶0.8, reaction time 60 min, original pH of leachate and settling time 30 min. In the precipitation process, pH could be maintained at the optimal range of 8–9.5 because MgO could release hydroxide ions to consume hydrogen ions. Calcium ions and carbonate ions existed in the leachate could affect the precipitation process, which resulted in the decrease of removal efficiency. The residues of MAP sediments decomposed by heating under alkaline conditions can be reused as the sources of phosphorous and magnesium for the removal of high concentrations of , and up to 90% of ammonium could be released under molar ratio of n[OH]∶n[MAP] = 2.5∶1, heating temperature 90°C and heating time 2h.

Keywords： magnesium ammonium phosphate precipitation     mature landfill leachate     optimization     ammonium-nitrogen    

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Optimization of process parameters for preparation of powdered activated coke to achieve maximum SO

Binxuan ZHOU, Tao WANG, Tianming XU, Cheng LI, Yuan ZHAO, Jiapeng FU, Zhen ZHANG, Zhanlong SONG, Chunyuan MA

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 159-169 doi: 10.1007/s11708-020-0719-7

Abstract: To prepare the PAC with a high SO adsorption capacity using JJ-coal under flue gas atmosphere, six parametersThe model optimization results indicate that when reaction temperature is 904.74°C, O concentration

Keywords： powdered activated coke (PAC)     SO2 adsorption capacity     parameters optimization     response surface    

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A composite optimization method for separation parameters of large-eccentricity pico-satellites None

Lai TENG, Zhong-he JIN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 685-698 doi: 10.1631/FITEE.1700416

Abstract: A spacecraft’s separation parameters directly affect its flying trace.In this paper, we present a composite optimization method, which combines angular velocities with externalmoments for separation parameters of large-eccentricity pico-satellites.This optimization method is proved through a ground test which offsets the gravity.parameters of large-eccentricity pico-satellites.

Keywords： Pico-satellite     Satellite–rocket separation mechanism     Separation parameters     Parameter optimization    

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Robust design of configurations and parameters of adaptable products

Jian ZHANG,Yongliang CHEN,Deyi XUE,Peihua GU

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 1-14 doi: 10.1007/s11465-014-0296-8

Abstract: this paper, a robust design approach is introduced to identify the optimal design configuration and parametersAn adaptable product in this paper is modeled by both configurations and parameters.At the parameter level, four types of product/operating parameters and relations among these parametersA two-level optimization approach is developed to identify the optimal design configuration and its parameter

Keywords： adaptable product     robust design     optimization     uncertainties    

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Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 319-332 doi: 10.1007/s11465-013-0269-3

Abstract:

The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization hasNon-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimizationIn this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameterswhile output parameters are material removal rate (MRR) and average surface roughness (Ramodel is capable to predict the output responses within the acceptable limit for a given set of input parameters

Keywords： electrical discharge diamond grinding (EDDG)     artificial neural network (ANN)     genetic algorithm     modeling and optimization    

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Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodiesel

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract:

The present work studies and identifies the different variables that affect the output parametersMathematical models are developed for combustion parameters (Brake specific fuel consumption (BSFC) andThese regression equations are further utilized for simultaneous optimization of combustion (BSFC, Pmax), performance (BTE) and emission (CO, NOx, HC, smoke) parameters.maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimization

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominated    

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Wastewater-nitrogen removal using polylactic acid/starch as carbon source: Optimization of operatingparameters using response surface methodology

Yan GUO, Chuanfu WU, Qunhui WANG, Min YANG, Qiqi HUANG, Markus MAGEP, Tianlong ZHENG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0845-y

Abstract: The influence of different operating parameters on responses was verified using RSM.The exclusive and interactive influences of operating parameters (i.e., temperature, pH, stirring rateThe sensitivity of , , and to different operating parameters also differed.

Keywords： Nitrogen removal     Polylactic acid     Starch     Carbon source     Response surface methodology    

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Optimization of thread partitioning parameters in speculative multithreading based on artificial immune

Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 205-216 doi: 10.1631/FITEE.1400172

Abstract: Using unified values of partition parameters to partition different applications leads to the fact thatIn this paper, five parameters affecting thread partition are extracted from heuristic rules.The issue can be attributed to a single objective optimization problem.

Keywords： Speculative multithreading     Thread partitioning     Artificial immune algorithm    

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Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 85-95 doi: 10.1007/s11465-018-0491-0

Abstract: The determination of process parameters is important in obtaining qualified products and maintaininginto three categories: Case-based reasoning methods, expert system-based methods, and data fitting and optimization

Keywords： injection molding     intelligent methods     process parameters     optimization    

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Title Author Date Type Operation

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting

Nazim Abdul NARIMAN

Journal Article

Multidisciplinary co-design optimization of structural and control parameters for bucket wheel reclaimer

Yongliang YUAN, Liye LV, Shuo WANG, Xueguan SONG

Journal Article

Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Journal Article

Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Journal Article

Optimization of process parameters for preparation of powdered activated coke to achieve maximum SO

Binxuan ZHOU, Tao WANG, Tianming XU, Cheng LI, Yuan ZHAO, Jiapeng FU, Zhen ZHANG, Zhanlong SONG, Chunyuan MA

Journal Article

A composite optimization method for separation parameters of large-eccentricity pico-satellites

Lai TENG, Zhong-he JIN

Journal Article

Robust design of configurations and parameters of adaptable products

Jian ZHANG,Yongliang CHEN,Deyi XUE,Peihua GU

Journal Article

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Journal Article

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodiesel

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

Wastewater-nitrogen removal using polylactic acid/starch as carbon source: Optimization of operatingparameters using response surface methodology

Yan GUO, Chuanfu WU, Qunhui WANG, Min YANG, Qiqi HUANG, Markus MAGEP, Tianlong ZHENG

Journal Article

Optimization of thread partitioning parameters in speculative multithreading based on artificial immune

Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article