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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding
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Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameteroptimization to fully understand the recent advances in this research area.Current studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency     cutting parameter     optimization     machining process    

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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 optimizationSeveral of the ACO parameter values are given, and the remaining ones are adaptively optimized by SOSThus, the complexity of ACO parameter assignment is greatly reduced.

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

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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: improved loss function-based artificial neural network (ILF-ANN) combined with quantum particle swarm optimization

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

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Optimization of power and efficiency for an irreversible Diesel heat engine

Shiyan ZHENG, Guoxing LIN

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 560-565 doi: 10.1007/s11708-010-0018-9

Abstract: The conclusions obtained in the present paper may provide some theoretical guidance for the optimal parameter

Keywords： Diesel heat engine     irreversibility     power output     efficiency     parameter optimization    

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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: article reviews the recent studies and developments of the intelligent methods applied in the process parameterinto three categories: Case-based reasoning methods, expert system-based methods, and data fitting and optimizationA framework of process parameter determination is proposed after comprehensive discussions.

Keywords： injection molding     intelligent methods     process parameters     optimization    

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Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity

Genshen LIU, Huaiju LIU, Caichao ZHU, Tianyu MAO, Gang HU

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 61-79 doi: 10.1007/s11465-020-0611-5

Abstract: or insufficient fatigue reliability, require continuous improvements in the reliability-based design optimizationIn this work, a novel gear transmission optimization model based on dynamic fatigue reliability sensitivity

Keywords： gear transmission     fatigue reliability     reliabi-lity sensitivity     parameter optimization    

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An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 160-172 doi: 10.1631/FITEE.1500168

Abstract: of process, voltage, and temperature (PVT) parameters significantly impacts the yield analysis and optimizationWe suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) andThen a power-delay bi-objective optimization model is formulated by computation of cumulative distributionFinally, the AWS method is applied for power-delay optimization to generate a well-distributed set of

Keywords： Parameter variations     Parametric yield     Multi-objective optimization     Chebyshev affine     Adaptive weighted    

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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: In 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-domainthis model, the searching area of the key control parameters was narrowed by performing integrated optimization

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

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: training and fault diagnosis, and is always time consuming and labor intensive, making the automatic hyper parameteroptimization (HPO) of CNN models essential.It is compared with four commonly used HPO methods, namely, random search, Bayesian optimization, tree

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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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: In this paper, we present a composite optimization method, which combines angular velocities with externalFinally, the reasons for deviation of angular velocities and unreliable optimization results are presentedThis optimization method is proved through a ground test which offsets the gravity.Simulation and test results show that the optimization method can effectively optimize the separation

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

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Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone

Yang Shijiao,Dai Jianyong,Zeng Sheng

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 61-65

Abstract:

To request for relating law between technical and economic parameter and ore cost for a raw material

Keywords： adaptive network-based fuzzy inference system     parallel genetic algorithms     technical and economic parameter    

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the Fermentation Processes at Multi-levels in Bioreactor and Its Application for Special Purposes——Optimizationand Scaling Up of the Fermentation Process Based on the Parameter Correlation Method

Zhang siliang

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 37-45

Abstract:

After reviewing the basic idea, methods of optimization and scale up for fermentation process adoptedThrough several further experiments, the optimization technology of fermentation process at multi-levelsbased on the parameter correlation methodology and scaling-up strategy with multi parameters modulationand computer technology, the new concept bioreactor (FUS-50L(A)) is used for fermentation processes optimization

Keywords： bioreactor     fermentation     optimization     scale up    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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Title Author Date Type Operation

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

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

Journal Article

Optimization of power and efficiency for an irreversible Diesel heat engine

Shiyan ZHENG, Guoxing LIN

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article

Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity

Genshen LIU, Huaiju LIU, Caichao ZHU, Tianyu MAO, Gang HU

Journal Article

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

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

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

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

Lai TENG, Zhong-he JIN

Journal Article

Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article

the Fermentation Processes at Multi-levels in Bioreactor and Its Application for Special Purposes——Optimizationand Scaling Up of the Fermentation Process Based on the Parameter Correlation Method

Zhang siliang

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article