检索结果-内蒙古大学图书馆

5th International Conference on Computer and Computing Technologies in Agriculture (CCTA)

作者： Lv, Ping Liu, Dong NE Agr Univ Sch Water Conservancy & Civil Engn Harbin 150030 Heilongjiang Peoples R China

ISBN: (纸本)9783642272806

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 benefits. Only 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 resources. The large system decomposition-coordination theory and multi-objective genetic algorithm are applied to solve the model. 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 protected. The optimal allocation model and solution method are effective and feasible, and the optimal allocation results are reasonable. The 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

Space Active Noise Control System Design with multi-objective genetic algorithms

Space Active Noise Control System Design with Multi-objectiv...

引用

IEEE Congress on Evolutionary Computation (CEC)

作者： Liu Huideng Qiu ARui Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)9781424478354

The model for the space active noise control system is investigated in this paper and is converted to a multi-objective optimization problem with constraints, of which the positions of secondary speakers and error sensors are the decision variables, the summation of the squared pressure at all points within the noise quiet zone and the total source strength for the secondary speakers are the multi-objective functions. The multi-objective genetic algorithms and simple genetic algorithm are implemented to solve the optimization problem so as to determine the appropriate positions of the secondary speakers and error sensors. The large sound pressure reductions within the noise quiet zone to control the single tone primary noise and motor operating noise show that the optimal schemes obtained by the multi-objective genetic algorithms are efficient.

关键词： Active noise control(ANC) space multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

MOGA for multi-Level Fuzzy Data Mining

MOGA for Multi-Level Fuzzy Data Mining

引用

IEEE International Conference on Granular Computing (GrC)

作者： Chen, Chun-Hao Ho, Chi-Hsuan Hong, Tzung-Pei Lin, Wei-Tee Tamkang Univ Dept Comp Sci & Infonnat Engn Taipei Taiwan Natl Univ Kaohsiung Dept Comp Sci & Informat Engn Kaohsiung Taiwan Natl Cheng Kung Univ Dept Comp Sci & Informat Engn Tainan Taiwan

ISBN: (纸本)9781467323109;9781467323116

In this paper, we propose a multi-objective multi-Level genetic-Fuzzy Mining (MOMLGFM) algorithm for mining a set of non-dominated membership functions for mining multi-level fuzzy association rules. It first encodes the membership functions of each item class (category) into a chromosome according to the given taxonomy. The two objective functions of each chromosome are then calculated. The first one is the summation of large 1-itemsets of each item in different concept levels, and the second one is the suitability of membership functions. The fitness value of each individual is then evaluated by these two objective functions. After the GA process terminates, various sets of membership functions could be used for deriving multiple-level fuzzy association rules according to decision maker. Experimental results on a simulation dataset also show the effectiveness of the algorithm.

关键词： data mining multi-objective genetic algorithm multi-concept levels membership function fuzzy association rule

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

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

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：