Search | Engineering

Subscribe Submit

Home Journals Focus Videos Achievement Fronts Contact Us 中文版

Resource Type

Journal Article 1298

Conference Videos 36

Year

2023 15

2022 133

2021 102

2020 99

2019 87

2018 76

2017 91

2016 52

2015 65

2014 71

2013 53

2012 59

2011 40

2010 45

2009 50

2008 58

2007 72

2006 32

2005 25

2004 18

open ︾

Keywords

optimization 74

control 40

multi-objective optimization 22

genetic algorithm 20

topology optimization 17

Optimization 12

maximum power point tracking (MPPT) 8

neural network 8

COVID-19 7

simulation 7

Multi-agent systems 6

Response surface methodology 6

design optimization 6

different 6

optimization design 6

robustness 6

temperature control 6

vector control 6

artificial neural network 5

open ︾

Search scope:

排序： Display mode:

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

Frontiers of Structural and Civil Engineering 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.

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

HTML PDF Collect

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

Frontiers of Mechanical Engineering 2021, 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

HTML PDF Collect

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: turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload controlThrough optimization, the steam pressure is regarded as the criterion between constant pressure and sliding

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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: By using the thermodynamic analysis and optimal control theory methods, the analytical expressions ofThe 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

HTML PDF Collect

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

HTML PDF Collect

MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization Research Article

Kai MENG, Chen CHEN, Bin XIN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1828-1847 doi: 10.1631/FITEE.2200237

Abstract: The (SSA) is a recent meta-heuristic optimization approach with the advantages of simplicity and flexibilityresults show that the MSSSA achieves competitive performance compared with several state-of-the-art optimization

Keywords： Swarm intelligence Sparrow search algorithm Adaptive parameter control strategy Hybrid disturbancemechanism Optimization problems

HTML PDF Collect

The Research of the Working Parameter Adjustment Principle and Control Strategy on Hydraulic Impact Machine

Liu Zhong,,Chu Fulei,Long Guojian,Liao Yongzhong

Strategic Study of Chinese Academy of Engineering 2005, Volume 7, Issue 10, Pages 73-77

Abstract:

This paper analyses the working parameter adjustment methods for hydraulic impact machine at homeThe design principles, structural feature, technical properties and control strategy are also described

Keywords： hydraulic impact machine continual adjust working parameter control system

HTML PDF Collect

Design and control optimization of energy systems of smart buildings today and in the near future

Shengwei WANG, Wenjie GANG

Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 58-66 doi: 10.15302/J-FEM-2017005

Abstract: Design and control optimization of building energy systems therefore plays a significant role to obtainThis paper introduces a general methodology for the design and control optimization of building energyTo improve the operation performance, the optimal control strategies that can be used by different systemsThe control strategies for chillers, pumps and fresh air systems are optimized.The energy saving and cost from the design and control optimization methods are analyzed.

Keywords： Design optimization Optimal control Smart building Energy efficiency

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning System

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 11, Pages 84-87

Abstract: system, a fuzzy controller with self-optimizing parameters is proposed and applied into the temperature controlThe experimental result indicates that the optimization method enhances the robustness of the fuzzy controller

Keywords： central air-conditioning system temperature control fuzzy controller parameter optimization

HTML PDF Collect

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 controlIn 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-domainBased on this model, the searching area of the key control parameters was narrowed by performing integratedoptimization.

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

HTML PDF Collect

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

HTML PDF Collect

Title Author Date Type Operation

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

Journal Article

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

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

MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization

Kai MENG, Chen CHEN, Bin XIN

Journal Article

The Research of the Working Parameter Adjustment Principle and Control Strategy on Hydraulic Impact Machine

Liu Zhong,,Chu Fulei,Long Guojian,Liao Yongzhong

Journal Article

Design and control optimization of energy systems of smart buildings today and in the near future

Shengwei WANG, Wenjie GANG

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

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning System

Wu Aiguo,Du Chunyan,Song Xiaoqiang

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

京公网安备 11010502051620号京ICP备11030251号-2

关注我们