检索结果-内蒙古大学图书馆

Optimization of semi-trailing arm suspension for improving handling and stability of passenger car

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS 2012年第K2期226卷 108-121页

作者： Kazemi, Mohsen Shirazi, Kourosh Heydari Ghanbarzadeh, Afshin Shahid Chamran Univ Dept Mech Engn Fac Engn Ahvaz Iran

Semi-trailing arm is an extended form of two suspension systems trailing arm and swing axle that compromises advantages and disadvantages of those systems. In this article, using bees algorithm optimization method, the characteristic parameters of a semi-trailing arm suspension system to optimize the handling and stability performances of a passenger car are determined. Two types of objective functions, namely off-line and on-line, are defined. In off-line objective function, variation of camber, toe angle, and wheel track due to roll are considered. In the on-line objective function, handling and stability performance of a moving vehicle in a standard J-turn maneuver are considered. A nine degree-of-freedom non-linear vehicle model consists of semi-trailing arm and MacPherson suspensions in rear and front axle, respectively, is considered. The optimized suspension systems obtained from both off-line and on-line objective functions are utilized in making two accurate vehicle models in ADAMS-Car for experimental field test. A comparison between the behaviors of the two vehicles shows that despite the simplicity of optimization with off-line objective functions relative to on-line1, it returns the satisfactory results and improves both the handling and stability performances.

关键词： Semi-trailing arm suspension handling and stability performance non-linear vehicle model bees algorithm

来源：评论

学校读者我要写书评

暂无评论

Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2013年第1期2013卷 1-22页

作者： Xu, Jiuping Gang, Jun Lei, Xiao Sichuan Univ State Key Lab Hydraul & Mt River Engn Chengdu 610064 Peoples R China Sichuan Univ Uncertainty Decis Making Lab Chengdu 610064 Peoples R China China Three Gorges Corp Yichang 443002 Peoples R China

A bilevel optimization model for a hazardous materials transportation network design is presented which considers an emergency response teams location problem. On the upper level, the authority designs the transportation network to minimize total transportation risk. On the lower level, the carriers first choose their routes so that the total transportation cost is minimized. Then, the emergency response department locates their emergency service units so as to maximize the total weighted arc length covered. In contrast to prior studies, the uncertainty associated with transportation risk has been explicitly considered in the objective function of our mathematical model. Specifically, our research uses a complex fuzzy variable to model transportation risk. An improved artificial bee colony algorithm with priority-based encoding is also applied to search for the optimal solution to the bilevel model. Finally, the efficiency of the proposed model and algorithm is evaluated using a practical case and various computing attributes.

关键词： HAZARDOUS substances FUZZY mathematics MATHEMATICAL optimization TRANSPORTATION costs ARC length bees algorithm

来源：评论

学校读者我要写书评

暂无评论

Identification of patterns in control charts for processes with statistically correlated noise

引用

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2018年第4期56卷 1504-1520页

作者： Gutierrez, Hector De la Torre Duc Truong Pham Univ Birmingham Sch Engn Birmingham W Midlands England

In real industrial scenarios, if the quality characteristics of a continuous or batch production process are monitored using Shewhart control charts, there could be a large number of false alarms about the process going out of control. This is because these control charts assume that the inherent noise of the monitored process is normally, independently and identically distributed, although the assumption of independence is not always correct for continuous and batch production processes. This paper presents three control chart pattern recognition systems where the inherent disturbance is assumed to be stationary. The systems use the first-order autoregressive (AR(1)), moving-average (MA(1)) and autoregressive moving-average (ARMA(1,1)) models. A special pattern generation scheme is adopted to ensure generality, randomness and comparability, as well as allowing the further categorisation of the studied patterns. Two different input representation techniques for the recognition systems were studied. These gave nearly the same performance for the MA(1) and ARMA(1,1) models, while the raw data yielded the highest accuracies when AR(1) was used. The effect of autocorrelation on the pattern recognition capabilities of the developed models was studied. It was observed that Normal and Upward Shift patterns were the most affected.

关键词： control charts pattern recognition SPC bees algorithm Support Vector Machine

来源：评论

学校读者我要写书评

暂无评论

Adaptive functional-based neuro-fuzzy PID incremental controller structure

引用

NEURAL COMPUTING & APPLICATIONS 2015年第6期26卷 1423-1438页

作者： Fahmy, A. A. Ghany, A. M. Abdel Cardiff Univ Cardiff Sch Engn Dept Syst Engn Cardiff CF24 3AA S Glam Wales Helwan Univ Fac Engn Elect Power & Machines Dept Cairo Egypt

This paper presents an adaptive functional-based neuro-fuzzy PID incremental controller structure that can be tuned either offline or online according to required controller performance. First, differential membership functions are used to represent the fuzzy membership functions of the input-output space of the three-term controller. Second, controller rules are generated based on the discrete proportional, derivative, and integral functions for the fuzzy space. Finally, a fully differentiable fuzzy neural network is constructed to represent the developed controller for either offline or online controller parameter adaptation. Two different adaptation methods are used for controller tuning, offline method based on controller transient performance cost function optimization using bees algorithm and online method based on tracking error minimization using back-propagation with momentum algorithm. The proposed control system was tested to show the validity of the controller structure over a fixed PID controller gains to control SCARA(A (R)) type robot arm.

关键词： Optimization techniques Adaptive control Fuzzy systems Neuro-fuzzy PID controllers Neuro-fuzzy systems bees algorithm

来源：评论

学校读者我要写书评

暂无评论

Monitoring method for gasification process instability using BEE-RBFNN pattern recognition

引用

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2021年第29期46卷 16202-16216页

作者： Zhang, Jinchun Zhang, Zichuan Hou, Jinxiu Henan Polytech Univ Sch Energy Sci & Engn Jiaozuo 454000 Henan Peoples R China Henan Polytech Univ Sch Safety Sci & Engn State Key Lab Cultivat Base Gas Geol & Gas Contro Jiaozuo 454000 Henan Peoples R China

To identify large fluctuations of parameters in the process of gasification, a control chart pattern recognition method based on optimized radial basis function neural network (RBFNN) is proposed in this paper to conduct pattern recognition of the parameters of gasification process. The proposed method is described in four aspects, feature description, feature extraction, classifier and algorithm learning and training. The initial data is described from shape features and statistical features to reduce the dimension of the data. The optimal characteristic set is selected by the association rule mining algorithm to reduce the complexity of the model. The performance of neural network is affected by the learning method. With RBFNN as a classifier, a learning method based on bees algorithm is therefore put forward and then training recognition is compared between the proposed method and the traditional method. The results show that the proposed method has higher recognition rate and simpler structure than the traditional method, and it is very effective in monitoring and identifying abnormal fluctuations of gasification process parameters. (C) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： Gasification process Instability monitoring Pattern recognition Radial basis neural network bees algorithm

来源：评论

学校读者我要写书评

暂无评论

INACT-INDECT Advanced Image Cataloguing Tool

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2014年第1期68卷 95-110页

作者： Grega, Michal Bryk, Damian Napora, Maciej AGH Univ Sci & Technol PL-30059 Krakow Poland

Child pornography possession and distribution are crimes which are prosecuted in most countries around the world. In some cases the law is so strict that even police forces are not allowed to gather and catalogue evidence for future reference. This paper presents an innovative solution to this problem. The authors present tools for cataloguing high- and low-level metadata of the evidence material. Furthermore, a tool for fast and accurate search for such evidence in suspects' file systems is proposed.

关键词： Live forensics Query by example bees algorithm Child pornography

来源：评论

学校读者我要写书评

暂无评论

Optimization-Based Artificial Bee Colony algorithm for Data Collection in Large-Scale Mobile Wireless Sensor Networks

引用

JOURNAL OF SENSORS 2016年第5-17期2016卷 7057490-7057490页

作者： Yue, Yinggao Li, Jianqing Fan, Hehong Qin, Qin Southeast Univ Sch Instrument Sci & Engn 2 Sipailou Nanjing 210096 Jiangsu Peoples R China Southeast Univ Natl Res Ctr Opt Sensing Commun Integrated Networ 2 Sipailou Nanjing 210096 Jiangsu Peoples R China

Data collection is a fundamental operation in various mobile wireless sensor networks (MWSN) applications. The energy of nodes around the Sink can be untimely depleted owing to the fact that sensor nodes must transmit vast amounts of data, readily forming a bottleneck in energy consumption;mobile wireless sensor networks have been designed to address this issue. In this study, we focused on a large-scale and intensive MWSN which allows a certain amount of data latency by investigating mobile Sink balance from three aspects: data collection maximization, mobile path length minimization, and network reliability optimization. We also derived a corresponding formula to represent the MWSN and proved that it represents an NP-hard problem. Traditional data collection methods only focus on increasing the amount data collection or reducing the overall network energy consumption, which is why we designed the proposed heuristic algorithm to jointly consider cluster head selection, the routing path from ordinary nodes to the cluster head node, and mobile Sink path planning optimization. The proposed data collection algorithm for mobile Sinks is, in effect, based on artificial bee colony. Simulation results show that, in comparison with other algorithms, the proposed algorithm can effectively reduce data transmission, save energy, improve network data collection efficiency and reliability, and extend the network lifetime.

关键词： Acquisition of data Wireless sensor networks Energy consumption bees algorithm Computer simulation

来源：评论

学校读者我要写书评

暂无评论

An Enhanced Discrete Artificial Bee Colony algorithm to Minimize the Total Flow Time in Permutation Flow Shop Scheduling with Limited Buffers

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2016年第1期2016卷 1-11页

作者： Deng, Guanlong Yang, Hongyong Zhang, Shuning Ludong Univ Sch Informat & Elect Engn Yantai 264025 Peoples R China

This paper presents an enhanced discrete artificial bee colony algorithm for minimizing the total flow time in the flow shop scheduling problem with buffer capacity. First, the solution in the algorithm is represented as discrete job permutation to directly convert to active schedule. Then, we present a simple and effective scheme called best insertion for the employed bee and onlooker bee and introduce a combined local search exploring both insertion and swap neighborhood. To validate the performance of the presented algorithm, a computational campaign is carried out on the Taillard benchmark instances, and computations and comparisons show that the proposed algorithm is not only capable of solving the benchmark set better than the existing discrete differential evolution algorithm and iterated greedy algorithm, but also capable of performing better than two recently proposed discrete artificial bee colony algorithms.

关键词： bees algorithm FLOW shop scheduling BUFFER solutions COMPUTER mathematics COMBINATIONS (Mathematics)

来源：评论

学校读者我要写书评

暂无评论

Blind Source Separation Based on Covariance Ratio and Artificial Bee Colony algorithm

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2014年第1期2014卷 1-12页

作者： Chen, Lei Zhang, Liyi Guo, Yanju Huang, Yong Liang, Jingyi Tianjin Univ Commerce Sch Informat Engn Tianjin 300134 Peoples R China Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Hebei Univ Technol Sch Informat Engn Tianjin 300401 Peoples R China

The computation amount in blind source separation based on bioinspired intelligence optimization is high. In order to solve this problem, we propose an effective blind source separation algorithm based on the artificial bee colony algorithm. In the proposed algorithm, the covariance ratio of the signals is utilized as the objective function and the artificial bee colony algorithm is used to solve it. The source signal component which is separated out, is then wiped off from mixtures using the deflation method. All the source signals can be recovered successfully by repeating the separation process. Simulation experiments demonstrate that significant improvement of the computation amount and the quality of signal separation is achieved by the proposed algorithm when compared to previous algorithms.

关键词： BLIND source separation COVARIANCE matrices bees algorithm SIMULATION methods & models MIXTURES

来源：评论

学校读者我要写书评

暂无评论

Perception data-driven optimization of manufacturing equipment service scheduling in sustainable manufacturing

引用

JOURNAL OF MANUFACTURING SYSTEMS 2016年 41卷 86-101页

作者： Xu, Wenjun Shao, Luyang Yao, Bitao Zhou, Zude Duc Truong Pham Wuhan Univ Technol Sch Informat Engn Luoshi Rd 122 Wuhan 430070 Peoples R China Minist Educ Key Lab Fiber Opt Sensing Technol & Informat Proc Luoshi Rd 122 Wuhan 430070 Peoples R China Wuhan Univ Technol Sch Mech & Elect Engn Luoshi Rd 122 Wuhan 430070 Peoples R China Univ Birmingham Sch Engn Dept Mech Engn Birmingham B15 2TT W Midlands England

Both sustainable manufacturing and manufacturing service are the trends in industry because they are regarded as ways to reduce the resource cost and energy consumption in manufacturing process, to improve the flexibility and responding speed to customers' demand, and to improve the production efficiency. In order to improve the sustainability of manufacturing equipment services in job shop, this paper presents a multi-objective joint model of energy consumption and production efficiency. The model is related to multi-conditions of manufacturing equipment services. The conditions are monitored in real-time to drive a multi-objective dynamic optimized scheduling of manufacturing services. In order to solve the multi-objective problem, an enhanced Pareto-based bees algorithm (EPBA) is proposed. In order to ensure the variety of population, to prevent the premature convergence, and to improve the searching speed, several key technologies are utilized such as variable neighborhood searching, mutation and crossover operation, fast non-dominated ranking, critical path local search, archive Pareto set, critical path taboo set, etc. Finally, the proposed method is evaluated and shows better performance in static and dynamic scenarios compared with the existing optimization algorithms. (C) 2016 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

关键词： Sustainable manufacturing Manufacturing equipment service Perception data-driven bees algorithm Optimized scheduling

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：