检索结果-内蒙古大学图书馆

A multi-objective genetic algorithm for solving assembly line balancing problem

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2000年第5期16卷 341-352页

作者： Ponnambalam, SG Aravindan, P Naidu, GM Reg Engn Coll Dept Prod Engn Tiruchirappalli 620015 India PSG Coll Technol Dept Mech Engn Coimbatore 641004 Tamil Nadu India

In this paper, a multi-objective genetic algorithm to solve assembly line balancing problems is proposed. The performance criteria considered are the number of workstations, the line efficiency, the smoothness index before trade and transfer, and the smoothness index after trade and transfer. The developed genetic algorithm is compared with six popular heuristic algorithms, namely, ranked positional weight, Kilbridge and West, Moodie and Young, Hoffmann precedence matrix, immediate update first fit, and rank and assign heuristic methods. For comparative evaluation, 20 networks are collected from open literature, and are used with five different cycle times. All the six heuristics and the genetic algorithm are coded in C++ language. It is found that the proposed genetic algorithm performs better in all the performance measures than the heuristics. However, the execution time for the GA is longer, because the GA searches for global optimal solutions with more iterations.

关键词： assembly line balancing heuristic rules multiobjective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

multiobjective scheduling for semiconductor manufacturing plants

引用

COMPUTERS & CHEMICAL ENGINEERING 2010年第4期34卷 555-566页

作者： Senties, O. Baez Azzaro-Pantel, C. Pibouleau, L. Domenech, S. Univ Toulouse Lab Genie Chim UMR 5503 ENSIACET INPT 4 Allee Emile MonsoBP 44362 F-31432 Toulouse 4 France

Scheduling of semiconductor wafer manufacturing system is identified as a complex problem, involving multiple and conflicting objectives (minimization of facility average utilization, minimization of waiting time and storage, for instance) to simultaneously satisfy. In this study, we propose an efficient approach based on an artificial neural network technique embedded into a multiobjective genetic algorithm for multi-decision scheduling problems in a semiconductor wafer fabrication environment. (C) 2010 Elsevier Ltd All rights reserved

关键词： Discrete event simulation Artificial neural networks multiobjective genetic algorithm Semiconductor manufacturing

来源：评论

学校读者我要写书评

暂无评论

genetic-algorithm-based real-time task scheduling with multiple goals

引用

JOURNAL OF SYSTEMS AND SOFTWARE 2004年第3期71卷 245-258页

作者： Oh, J Wu, C Seoul Natl Univ Sch Engn & Comp Sci SE Lab Seoul 151742 South Korea

This paper presents and evaluates a new method for real-time task scheduling in multiprocessor systems. Its objectives are to minimize the number of processors required and the total tardiness of tasks. The minimization is carried out through a multiobjective genetic algorithm (GA), because the problem has non-commensurable and competing objectives to be optimized. The experimental results showed that when compared to five methods used previously, such as list-scheduling algorithms and a specific GA, the performance of our algorithm was comparable or better for 178 out of 180 randomly generated task graphs. Also shown is the impact of the sparsity of a task graph on the performance of-our algorithm. (C) 2002 Elsevier Inc. All rights reserved.

关键词： scheduling real-time system deadline total tardiness multiobjective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Multilevel Design Optimization and Operation of a Brushless Double Mechanical Port Flux-Switching Permanent-Magnet Motor

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2016年第10期63卷 6042-6054页

作者： Xiang, Zixuan Zhu, Xiaoyong Quan, Li Du, Yi Zhang, Chao Fan, Deyang Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Peoples R China Jiangsu Univ Jiangsu Key Lab Dr & Intelligent Control Elect Ve Zhenjiang 212013 Peoples R China

This paper proposes a brushless double mechanical port flux-switching permanent-magnet motor for potential application in hybrid electric vehicles. To realize the design objectives of high-torque capability, low-torque ripple, and low-magnetic coupling between the inner and outer motors, a new multilevel design optimization method is proposed to conduct a multiobjectives optimization. First, by adopting the comprehensive sensitivity approach, the whole optimization design process is divided into three levels: nonsensitive level, mild-sensitive level, and strong-sensitive level. Then, to improve the whole design efficiency, the response surface method and multiobjective genetic algorithm are applied in the mild-sensitive level and strong-sensitive level, respectively. Based on the proposed design method, a compromise design among the three design objectives is considered and realized. Finally, a prototype motor is built to verify the validity of the proposed design method and motor operation.

关键词： Comprehensive sensitivity flux-switching permanent-magnet motor hybrid electric vehicles (HEVs) multilevel design optimization multiobjective genetic algorithm response surface (RS) torque capability torque ripple

来源：评论

学校读者我要写书评

暂无评论

Modeling and optimization of machining parameters in cylindrical grinding process

引用

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2016年第9-12期82卷 2167-2182页

作者： Rudrapati, Ramesh Pal, Pradip Kumar Bandyopadhyay, Asish Jadavpur Univ Dept Mech Engn Kolkata 700032 India

In the present work, experiments and analyses have been made to investigate the influence of machining parameters on vibration and surface roughness in traverse cut cylindrical grinding of stainless steel material. The experiments have been conducted as per Box-Behnken design matrix with input parameters as infeed, longitudinal feed, and work speed. Mathematical modeling has been done by response surface methodology (RSM) to develop relationships between process parameters and output response(s). The adequacy of the developed models has been tested with analysis of variance. The contour and surface plots for vibration and surface roughness have been made to reveal how output responses vary with change in the machining parameters. Finally, multiobjective genetic algorithm (MOGA) has been applied to optimize vibration and surface roughness simultaneously. And then, predicted parametric condition has been validated by confirmatory experiments. The proposed optimization methodology (RSM cum MOGA) seems to be useful for analyzing and optimizing any manufacturing process where two or more input parameters influence more than one important output responses.

关键词： Cylindrical grinding Surface roughness Vibration Box-Behnken design Response surface methodology multiobjective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Collective Personalized Change Classification With multiobjective Search

引用

IEEE TRANSACTIONS ON RELIABILITY 2016年第4期65卷 1810-1829页

作者： Xia, Xin Lo, David Wang, Xinyu Yang, Xiaohu Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310027 Peoples R China Singapore Management Univ Sch Informat Syst Singapore 188065 Singapore

Many change classification techniques have been proposed to identify defect-prone changes. These techniques consider all developers' historical change data to build a global prediction model. In practice, since developers have their own coding preferences and behavioral patterns, which causes different defect patterns, a separate change classification model for each developer can help to improve performance. Jiang, Tan, and Kim refer to this problem as personalized change classification, and they propose PCC+ to solve this problem. A software project has a number of developers;for a developer, building a prediction model not only based on his/her change data, but also on other relevant developers' change data can further improve the performance of change classification. In this paper, we propose a more accurate technique named collective personalized change classification (CPCC), which leverages a multiobjective genetic algorithm. For a project, CPCC first builds a personalized prediction model for each developer based on his/her historical data. Next, for each developer, CPCC combines these models by assigning different weights to these models with the purpose of maximizing two objective functions (i.e., F1-scores and cost effectiveness). To further improve the prediction accuracy, we propose CPCC+ by combining CPCC with PCC proposed by Jiang, Tan, and Kim To evaluate the benefits of CPCC+ and CPCC, we perform experiments on six large software projects from different communities: Eclipse JDT, Jackrabbit, Linux kernel, Lucene, PostgreSQL, and Xorg. The experiment results show that CPCC+ can discover up to 245 more bugs than PCC+ (468 versus 223 for PostgreSQL) if developers inspect the top 20% lines of code that are predicted buggy. In addition, CPCC+ can achieve F1-scores of 0.60-0.75, which are statistically significantly higher than those of PCC+ on all of the six projects.

关键词： Cost effectiveness developer machine learning multiobjective genetic algorithm personalized change classification (PCC)

来源：评论

学校读者我要写书评

暂无评论

multiobjective shape optimization of a hypersonic lifting body using a correlation-based transition model

引用

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2016年第12期230卷 2220-2232页

作者： Xia, Chenchao Tao, Yongpeng Jiang, Tingting Chen, Weifang Zhejiang Univ Sch Aeronaut & Astronaut Hangzhou 310027 Zhejiang Peoples R China

Although substantial numbers of aerodynamic shape optimization works have been carried out in the past few decades, the effects of boundary layer transition are not considered in the overwhelmingly majority of those previous studies. For more accurate prediction of the flow field, and for exploration of relations between aerodynamic heating and geometrical features, the commonly used local correlation-based transition model -Ret is implemented into a computational fluid dynamics (CFD) solver. A CFD-based multiobjective shape optimization method is then described and applied to a hypersonic lifting body in this paper. For parametric modeling and grid deformation, the flexible free form deformation and robust transfinite interpolation techniques are used respectively. The response surface model is adopted as the approximation model for the reduction of computational cost, and the multiobjective genetic algorithm is employed for the exploration of optimal solutions. Optimization processes have been conducted by the optimization toolkit DAKOTA and two Pareto fronts are obtained. Besides, typical solutions on the Pareto fronts are compared and analyzed. The results obtained from the case considered in this study indicate that the lift-to-drag ratio and transition onset position are closely related with the volume of the vehicle, and trade-off can be made for aerodynamic and aerothermodynamic performance from the optimal solutions. Moreover, the design problem of lifting body demonstrates the robustness and practicality of the new optimization procedures, which incorporates the transition phenomenon for hypersonic flow.

关键词： Hypersonic flow lifting body aerodynamic shape optimization aerodynamic heating boundary layer transition multiobjective genetic algorithm surrogate model

来源：评论

学校读者我要写书评

暂无评论

Implementation and testing of a soft computing based model predictive control on an industrial controller

引用

JOURNAL OF APPLIED LOGIC 2015年第2期13卷 114-125页

作者： Larrea, M. Larzabal, E. Irigoyen, E. Valera, J. J. Dendaluce, M. Univ Basque Country UPV EHU Intelligent Control Res Grp GICI Leioa Spain

This work presents a real time testing approach of an Intelligent multiobjective Nonlinear-Model Predictive Control Strategy (iMO-NMPC). The goal is the testing and analysis of the feasibility and reliability of some Soft Computing (SC) techniques running on a real time industrial controller. In this predictive control strategy, a multiobjective genetic algorithm is used together with a Recurrent Artificial Neural Network in order to obtain the control action at each sampling time. The entire development process, from the numeric simulation of the control scheme to its implementation and testing on a PC-based industrial controller, is also presented in this paper. The computational time requirements are discussed as well. The obtained results show that the SC techniques can be considered also to tackle highly nonlinear and coupled complex control problems in real time, thus optimising and enhancing the response of the control loop. Therefore this work is a contribution to spread the SC techniques in on-line control applications, where currently they are relegated mainly to be used off-line, as is the case of optimal tuning of control strategies. (C) 2014 Elsevier B.V. All rights reserved.

关键词： multiobjective genetic algorithm Neural network NMPC HiL testing Industrial controller

来源：评论

学校读者我要写书评

暂无评论

Design optimisation of an axial-flux reluctance magnetic coupling based on a two-dimensional semi-analytical model

引用

IET ELECTRIC POWER APPLICATIONS 2020年第5期14卷 901-910页

作者： Lubin, Thierry Vahaj, Amir Abbas Rahideh, Akbar Univ Lorraine Fac Sci & Technol Grp Rech Energie Elect Nancy F-54506 Vandoeuvre Les Nancy France Shiraz Univ Technol Dept Elect & Elect Engn Shiraz *** Iran

In this study, design optimisation of an axial-flux reluctance magnetic coupling is presented. The optimal design procedure is based on a two-dimensional (2D) semi-analytical model defined at the mean radius combined with a multi-objective genetic algorithm (NSGA-II). In order to take into account the end-effects in the radial direction, a correction factor is defined to improve the torque and the axial-force determination. The obtained results are compared with those of 3D non-linear finite element simulations and experimental results. It is shown that the proposed semi-analytical model is very accurate and requires very little computing time.

关键词： genetic algorithms finite element analysis magnetic flux couplings design engineering optimisation design axial-flux reluctance magnetic coupling two-dimensional semianalytical model multiobjective genetic algorithm axial-force determination 2D semianalytical model NSGA-II 3D nonlinear finite element simulations

来源：评论

学校读者我要写书评

暂无评论

Fuzzy logic-based adaptive equaliser for non-linear perpendicular magnetic recording channels

引用

IET COMMUNICATIONS 2019年第9期13卷 1304-1310页

作者： Wongsathan, Rati Supnithi, Pornchai King Mongkuts Inst Technol Ladkrabang Fac Engn Bangkok 10520 Thailand

This paper proposes the fuzzy logic equaliser (FLE) for the detection of non-linear perpendicular magnetic recording (PMR) channels. The multi-objective genetic algorithm (MOGA) is utilised to optimise all of the fuzzy parameters and reduce the complexity while maintaining the accuracy. By means of this optimisation, the total number of fuzzy rules is significantly reduced about 44%. The bit error rate (BER) performance of the proposed FLEs are compared with those of the conventional detector and traditional non-linear equalisers for Volterra channel, in presence of non-linear amplitude distortions in high-density PMR channels. The proposed FLE outperforms existing detectors by 1 to 12 dB SNR gains. Furthermore, the complexity in terms of multiplication counts per execution and reliability of detectors with regard to the number of system parameters through the Akaike's information criterion (AIC) are assessed to verify the effectiveness of the proposed FLEs. An extension to PMR channel with jitter noise proves the robustness of the proposed FLEs.

关键词： genetic algorithms fuzzy logic perpendicular magnetic recording adaptive equalisers error statistics jitter fuzzy set theory reliability fuzzy logic-based adaptive equaliser FLE multiobjective genetic algorithm bit error rate performance nonlinear equalisers Volterra channel nonlinear amplitude distortions nonlinear PMR channel detection nonlinear perpendicular magnetic recording channel detection MOGA complexity reduction optimisation BER SNR reliability Akaike information criterion AIC jitter noise noise figure 1.0 dB to 12.0 dB

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：