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Zi-wu REN,Zhen-hua WANG,Li-ning SUN
《信息与电子工程前沿(英文)》 2015年 第16卷 第7期 页码 607-616 doi: 10.1631/FITEE.14a0335
关键词: Inverse kinematics problem 8-DOF humanoid manipulator Biogeography-based optimization (BBO) Differential evolution (DE)
Reliability-based robust design optimization of vehicle components, Part I: Theory
Yimin ZHANG
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 138-144 doi: 10.1007/s11465-015-0333-2
The reliability-based design optimization, the reliability sensitivity analysis and robust design method are employed to present a practical and effective approach for reliability-based robust design optimization of vehicle components. A procedure for reliability-based robust design optimization of vehicle components is proposed. Application of the method is illustrated by reliability-based robust design optimization of axle and spring. Numerical results have shown that the proposed method can be trusted to perform reliability-based robust design optimization of vehicle components.
关键词: vehicle components reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust design
The source and transport of bioaerosols in the air: A review
《环境科学与工程前沿(英文)》 2021年 第15卷 第3期 doi: 10.1007/s11783-020-1336-8
• Emission of microbe from local environments is a main source of bioaerosols.
关键词: Bioaerosols Diffusion Source identification Biogeography
Reliability-based robust design optimization of vehicle components, Part II: Case studies
Yimin ZHANG
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 145-153 doi: 10.1007/s11465-015-0334-1
The reliability-based optimization, the reliability-based sensitivity analysis and robust design method are employed to propose an effective approach for reliability-based robust design optimization of vehicle components in Part I. Applications of the method are further discussed for reliability-based robust optimization of vehicle components in this paper. Examples of axles,torsion bar, coil and composite springs are illustrated for numerical investigations. Results have shown the proposed method is an efficient method for reliability-based robust design optimization of vehicle components.
关键词: vehicle axles and springs reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust design
Muhammad Farhan AUSAF,Liang GAO,Xinyu LI
《机械工程前沿(英文)》 2015年 第10卷 第4期 页码 392-404 doi: 10.1007/s11465-015-0353-y
For increasing the overall performance of modern manufacturing systems, effective integration of process planning and scheduling functions has been an important area of consideration among researchers. Owing to the complexity of handling process planning and scheduling simultaneously, most of the research work has been limited to solving the integrated process planning and scheduling (IPPS) problem for a single objective function. As there are many conflicting objectives when dealing with process planning and scheduling, real world problems cannot be fully captured considering only a single objective for optimization. Therefore considering multi-objective IPPS (MOIPPS) problem is inevitable. Unfortunately, only a handful of research papers are available on solving MOIPPS problem. In this paper, an optimization algorithm for solving MOIPPS problem is presented. The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize the IPPS problem for various objectives like makespan, total machine load, total tardiness, etc. A fixed sized external archive coupled with a crowding distance mechanism is used to store and maintain the non-dominated solutions. To compare the results with other algorithms, a C-matric based method has been used. Instances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm. The experimental results show that the proposed method is an efficient approach for solving the MOIPPS problem.
关键词: integrated process planning and scheduling (IPPS) dispatching rules priority based optimization algorithm multi-objective optimization
《机械工程前沿(英文)》 2022年 第17卷 第4期 doi: 10.1007/s11465-022-0710-6
关键词: topology optimization isogeometric analysis finite element analysis tensor product structure sensitivity analysis
QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
《结构与土木工程前沿(英文)》 2023年 第17卷 第1期 页码 25-36 doi: 10.1007/s11709-022-0908-z
关键词: tunnel boring machine control parameter optimization quantum particle swarm optimization artificial neural network tunneling energy efficiency
Synergistic optimization framework for the process synthesis and design of biorefineries
《化学科学与工程前沿(英文)》 2022年 第16卷 第2期 页码 251-273 doi: 10.1007/s11705-021-2071-9
关键词: biotechnology surrogate modelling superstructure optimization simulation-based optimization process design
Analysis of energy saving optimization of campus buildings based on energy simulation
Dingding TONG, Jing ZHAO
《能源前沿(英文)》 2013年 第7卷 第3期 页码 388-398 doi: 10.1007/s11708-013-0273-7
关键词: campus buildings set-point temperature energy simulation energy saving optimization
Ant colony optimization for assembly sequence planning based on parameters optimization
Zunpu HAN, Yong WANG, De TIAN
《机械工程前沿(英文)》 2021年 第16卷 第2期 页码 393-409 doi: 10.1007/s11465-020-0613-3
关键词: assembly sequence planning ant colony optimization symbiotic organisms search parameter optimization
Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE
《能源前沿(英文)》 2020年 第14卷 第2期 页码 254-266 doi: 10.1007/s11708-020-0665-4
关键词: distributionally robust optimization (DRO) home energy management system (HEMS) receding horizon optimization (RHO) uncertainties
Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG
《机械工程前沿(英文)》 2020年 第15卷 第3期 页码 390-405 doi: 10.1007/s11465-020-0588-0
关键词: level set method topology optimization density-based method level set band
Efficient, high-resolution topology optimization method based on convolutional neural networks
Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG
《机械工程前沿(英文)》 2021年 第16卷 第1期 页码 80-96 doi: 10.1007/s11465-020-0614-2
关键词: topology optimization convolutional neural network high resolution density-based
《环境科学与工程前沿(英文)》 2022年 第16卷 第6期 doi: 10.1007/s11783-021-1513-4
• Season and landform influenced spatiotemporal patterns of abundant and rare taxa.
关键词: Rare taxa Biogeography Community assembly Bacterioplankton The Yangtze River
Multi-objective optimization for the multi-mode finance-based project scheduling problem
Sameh Al-SHIHABI, Mohammad AlDURGAM
《工程管理前沿(英文)》 2020年 第7卷 第2期 页码 223-237 doi: 10.1007/s42524-020-0097-1
关键词: multi-objective optimization finance-based scheduling multi-mode project scheduling mixed-integer linear programming CPLEX
标题 作者 时间 类型 操作
Ahybrid biogeography-based optimization method for the inverse kinematics problem of an 8-DOF redundant
Zi-wu REN,Zhen-hua WANG,Li-ning SUN
期刊论文
Reliability-based robust design optimization of vehicle components, Part II: Case studies
Yimin ZHANG
期刊论文
Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm
Muhammad Farhan AUSAF,Liang GAO,Xinyu LI
期刊论文
Massively efficient filter for topology optimization based on the splitting of tensor product structure
期刊论文
QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
期刊论文
Analysis of energy saving optimization of campus buildings based on energy simulation
Dingding TONG, Jing ZHAO
期刊论文
Ant colony optimization for assembly sequence planning based on parameters optimization
Zunpu HAN, Yong WANG, De TIAN
期刊论文
Distributionally robust optimization of home energy management system based on receding horizon optimization
Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE
期刊论文
Level set band method: A combination of density-based and level set methods for the topology optimization
Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG
期刊论文
Efficient, high-resolution topology optimization method based on convolutional neural networks
Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG
期刊论文
Distinct community assembly processes underlie significant spatiotemporal dynamics of abundant and rare bacterioplankton in the Yangtze River
期刊论文