检索结果-内蒙古大学图书馆

2nd IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS)

作者： Lei, Zhou Xiang, Jinfeng Zhou, Zhebo Duan, Feng Lei, Yu Shanghai Univ Sch Comp Engn & Sci Shanghai 200072 Peoples R China Univ Texas Arlington Dept Comp Sci & Engn Arlington TX 76019 USA

ISBN: (纸本)9781467318556;9781467318570

Cloud service providers usually utilize the resource in the data center to offer cloud computing service which needs to satisfy the demand of different customers. The load among the physical servers in the data center needs to be balanced to avoid hotspot and improve resource utility. In this paper we present a load balancing system and design an algorithm base on MOGA to get a new mapping relationship between physical machines and VMs. By a set of migrating operations of VMs the problem of load imbalance are solved. Through comprehensive simulations, the experimental results demonstrate that our proposed approaches can significantly improve the resource utilization when system load is stable variant.

关键词： Virtual machine multi-objective genetic algorithm Mapping policy Load balance

来源：评论

学校读者我要写书评

暂无评论

multi-objective Optimization of a Large-span Wing Analog Beam with Variable Cross-sections

Multi-objective Optimization of a Large-span Wing Analog Bea...

引用

2nd International Conference on Advanced Design and Manufacturing Engineering (ADME 2012)

作者： Li, Kui Qiu, Yuanying Sheng, Ying Xidian Univ Key Lab Elect Equipment Struct Minist Educ Xian 710071 Peoples R China

ISBN: (纸本)9783037855010

Aiming at the difficulty with structure and parameter design for a wing analog beam under a large deformation condition, a large-span cantilever truss model with Pro/e is designed. Then a mathematical model of the wing beam based on the multi-objective genetic algorithm is proposed. Thereby the sizing optimization and shape optimization for the wing analog beam are conducted with the finite element analysis and meanwhile two main objectives minimizing the maximum von Mises stress and the mean-square error of the deformation displacement curve fitting are satisfied. A Pareto optimal solution aggregate is obtained after the optimization. Finally an optimal structure is concluded via the multi-objective optimization design, which improves the curve fitting accuracy of the wing and satisfies the stress strength requirement as well.

关键词： Wing analog beam multi-objective genetic algorithm Optimization design Pareto optimal solution aggregate

来源：评论

学校读者我要写书评

暂无评论

Optimization of cooperative outsourcing between single-outsourcer multiple-subcontractors: a genetic algorithm based approach

引用

IFAC Proceedings Volumes 2012年第6期45卷 975-980页

作者： M. Haoues M. Dahane N.K. Mouss N. Rezg Automation and Manufacturing Laboratory (LAP) Industrial Engineering Department at University of Batna 1 Avenue Chahid Boukhlouf Med Ben Elhadi 05000 Batna - Algeria Industrial Engineering and Production Laboratory of Metz Engineer National School of Metz (ENIM) Route d'Ars Laquenexy CS65820 57078 - Metz. Metz Cedex 3 France Industrial Engineering and Production Laboratory of Metz Lorraine University – Metz (UdL) Île de Saulcy Metz Cedex 1 57045 France

In this paper, a cooperative outsourcing platform between single-outsourcer multiple-subcontractors has been developed under a combined approach of maintenance management and production control. This platform is composed of n independent subcontractor companies; each one has a single randomly failing and repairable machine. The basic objective is to develop mathematical models for sharing the outsourcing request between the subcontractors and to find the best outsourcing periods. Different multi-subcontractor strategies is adopted, namely, equitable distribution strategy, competitive strategy, the invoice outsourcing minimization strategy and multi-objective optimization strategy. For each model, we develop optimization algorithms and conduct computational experiments to study the managerial insights for the models and the algorithms.

关键词： cooperative outsourcing production control maintenance failure rate inventory genetic algorithm multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on the Optimal Layout of High-strength Steel in the Transmission Tower

引用

Physics Procedia 2012年 33卷 619-625页

作者： W.EI. Chunming S.U Tingting M.A Bin Gong Jing School of Civil Engineering Northeast Dianli University Jilin China

In order to research on the arrangement way of high-strength steel in ultrahigh voltage transmission towers, the integrated structure and material multi-objective optimization model of ultrahigh voltage transmission towers was established, and the optimization model is solved by using fast non-dominated sorting genetic algorithm (NSGA-II). Sectional areas and materials of each bar were regarded as the design variables, the structural min-cost was considered as the objective of the economic optimization, and the min-displacement of the control point was regarded as the objective of structural optimization. Based on the software MATLAB, relevant optimization program was programmed to solve the optimization model. The results show, the optimal results can satisfy the structural requirements and reduce the cost of projects, making the arrangement way of high-strength steel way in ultrahigh voltage transmission towers more reasonable and more economical.

关键词： Transmission towers with high-strength steel Integrated structure and material optimization multi-objective optimization multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

A multi-objective SCHEDULING STRATEGY BASED ON MOGA IN CLOUD COMPUTING ENVIRONMENT

A MULTI-OBJECTIVE SCHEDULING STRATEGY BASED ON MOGA IN CLOUD...

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Zhou Lei Jinfeng Xiang Zhebo Zhou Feng Duan Yu Lei School of Computer Engineering and Science Shanghai University Department of Computer Science and Engineering The University of Texas at ArlingtonArlingtonTX 76019USA

关键词： Virtual machine multi-objective genetic algorithm Mapping policy Load balance

来源：评论

学校读者我要写书评

暂无评论

Large System multi-objective Model of Optimal Allocation for Water Resources in Jiansanjiang Branch Bureau

Large System Multi-objective Model of Optimal Allocation for...

引用

第五届国际计算机与计算技术在农业中的应用研讨会

作者： Ping Lv Dong Liu School of Water Conservancy & Civil Engineering Northeast Agricultural University

According to the imbalance development and utilization of water resources,water shortages and other issues in Sanjiang Plain,taking Jiansanjiang branch bureau as an example,the multi-objective optimal allocation model of water resources is established with goal of maximum economic and social *** surface water,groundwater and transit water are considered overall and different water demands in industry,life and agriculture are satisfied can we realize the rational allocation of regional water *** large system decomposition-coordination theory and multiobjective genetic algorithm are applied to solve the *** optimization results showed that,the water shortage situation in Jiansanjiang branch bureau is improved in planning years and surface water supply capacity can be increased gradually and groundwater resources can be effectively *** optimal allocation model and solution method are effective and feasible,and the optimal allocation results are *** research can provide scientific basis for rational development and utilization of water resources in Jiansanjiang branch bureau and Sanjiang Plain.

关键词： Jiansanjiang branch bureau optimal allocation of water resources multi-objective genetic algorithm large system decomposition-coordination

来源：评论

学校读者我要写书评

暂无评论

multi-objective optimization of membrane structures based on Pareto genetic algorithm

引用

Journal of Harbin Institute of Technology(New Series) 2010年第5期17卷 622-630页

作者：伞冰冰孙晓颖武岳 School of Civil Engineering Harbin Institute of Technology

A multi-objective optimization method based on Pareto genetic algorithm is presented for shape design of membrane structures from a structural view *** non-dimensional variables are defined as optimization variables,which are decision factors of shapes of membrane *** objectives are proposed including maximization of stiffness,maximum uniformity of stress and minimum reaction under external *** multi-objective genetic algorithm is introduced to solve the Pareto ***,the dependence of the optimality upon the optimization variables is derived to provide guidelines on how to determine design ***,several examples illustrate the proposed methods and *** study shows that the multi-objective optimization method in this paper is feasible and efficient for membrane structures;the research on Pareto solutions can provide explicit and useful guidelines for shape design of membrane structures.

关键词： membrane structures multi-objective optimization Pareto solutions multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Bi-objective Community Detection (BOCD) in Networks Using genetic algorithm

Bi-Objective Community Detection (BOCD) in Networks Using Ge...

引用

4th International Conference on Contemporary Computing

作者： Agrawal, Rohan Jaypee Inst Informat Technol Dept Comp Sci Noida 201307 Uttar Pradesh India

ISBN: (纸本)9783642226052

A lot of research effort has been put into community detection from all corners of academic interest such as physics, mathematics and computer science. In this paper I have proposed a Bi-objective genetic algorithm for community detection which maximizes modularity and community score. Then the results obtained for both benchmark and real life data sets are compared with other algorithms using the modularity and MNI performance metrics. The results show that the BOCD algorithm is capable of successfully detecting community structure in both real life and synthetic datasets, as well as improving upon the performance of previous techniques.

关键词： Community Structure Community detection genetic algorithm multi-objective genetic algorithm multi-objective optimization modularity Normalized Mutual Information Bi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Variable Neighborhood multiobjective genetic algorithm for the Optimization of Routes on IP Networks

Variable Neighborhood Multiobjective Genetic Algorithm for t...

引用

6th International Conference on Evolutionary multi-Criterion Optimization

作者： Onety, Renata E. Moreira, Gladston J. P. Neto, Oriane M. Takahashi, Ricardo H. C. Univ Fed Minas Gerais Sch Elect Engn BR-31270901 Belo Horizonte MG Brazil Univ Fed dos Vales Jequitinhonha & Mucuri Otoni MG Brazil Univ Fed Minas Gerais Dept Math Belo Horizonte MG Brazil

ISBN: (纸本)9783642198922

This paper proposes an algorithm to optimize multiple indices of Quality of Service of multi Protocol Label Switching (MPLS) IP networks. The proposed algorithm, the Variable Neighborhood multiobjective genetic algorithm (VN-MGA), is a genetic algorithm based on the NSGA-II, with the particular feature that different parts of a solution are encoded differently, at Level 1 and Level 2. In order to improve the results, both representations are needed. At Level 1, the first part of the solution is encoded, by considering as decision variables, the arrows that form the routes to be followed by each request (whilst the second part of the solution is kept constant), whereas at Level 2, the second part of the solution is encoded, by considering as decision variables, the sequence of requests, and first part is kept constant. The preliminary results shown here indicate that the proposed approach is promising, since the Pareto-fronts obtained by VN-MGA dominate the fronts obtained by fixed-neighborhood encoding schemes. Besides the potential benefits of the application of the proposed approach to the optimization of packet routing in MPLS networks, this work raises the theoretical issue of the systematic application of variable encodings, which allow variable neighborhood searches, as generic operators inside general evolutionary computation algorithms.

关键词： Routing on IP Networks Variable Neighborhood Search multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

multi-objective optimization of a road diet network design

引用

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 2011年第6期45卷 499-511页

作者： Sohn, Keemin Chung Ang Univ Dept Urban Engn Seoul 156756 South Korea

The present study focuses on the development of a model for the optimal design of a road diet plan within a transportation network, and is based on rigorous mathematical models. In most metropolitan areas, there is insufficient road space to dedicate a portion exclusively for cyclists without negatively affecting existing motorists. Thus, it is crucial to find an efficient way to implement a road diet plan that both maximizes the utility for cyclists and minimizes the negative effect on motorists. A network design problem (NDP), which is usually used to find the best option for providing extra road capacity, is adapted here to derive the best solution for limiting road capacity. The resultant NDP for a road diet (NDPRD) takes a bi-level form. The upper-level problem of the NDPRD is established as one of multi-objective optimization. The lower-level problem accommodates user equilibrium (UE) trip assignment with fixed and variable mode-shares. For the fixed mode-share model, the upper-level problem minimizes the total travel time of both cyclists and motorists. For the variable mode-share model, the upper-level problem includes minimization of both the automobile travel share and the average travel time per unit distance for motorists who keep using automobiles after the implementation of a road diet. A multi-objective genetic algorithm (MOGA) is mobilized to solve the proposed problem. The results of a case study, based on a test network, guarantee a robust approximate Pareto optimal front. The possibility that the proposed methodology could be adopted in the design of a road diet plan in a real transportation network is confirmed. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Road diet Network design multi-objective optimization multi-objective genetic algorithm

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：