检索结果-内蒙古大学图书馆

QuESt: a QoS-based energy efficient sensor routing protocol

WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2009年第3期9卷 417-426页

作者： Saxena, Navrati Roy, Abhishek Shin, Jitae Sungkyunkwan Univ Sch Informat & Commun Engn Suwon 440746 South Korea Samsung Elect WiBro Syst Lab Suwon South Korea

Rapid penetration of smart wireless devices and enormous growth of wireless communication technologies has already set the stage for deployment of wireless sensor networks (WSNs). While these small sensor nodes are often considered as the future of wireless communications, they also Suffer from energy constraints. On the other hand. with increasing demand for real-time services in next generation wireless networks, quality-of-service (QoS)-based routing has emerged as an interesting research topic. Naturally offering some QoS-guarantee in sensor networks raises significant challenges. The network needs to cope up with battery-constraints, while providing precise QoS (end-to-end delay and bandwidth requirement) guarantee. More precisely, designing such QoS-protocols, optimizing multiple objectives, is computationally intractable. Based on the multi-objective genetic algorithm (MOGA), in this paper we propose a QoS-based energy-efficient sensor rowing (QuESt) protocol that determines application-specific, near-optimal sensory-routes demand, by optimizing multiple QoS parameters, (end-to-end delay and bandwidth requirements) and energy consumption. Simulation results demonstrate that the proposed protocol is capable of discovering a set of QoS-based, near-optimal routes, even with imprecise network information. Copyright (C) 2007 John Wiley & Sons, Ltd.

关键词： sensor networks multi-objective genetic algorithm QoS routing

来源：评论

学校读者我要写书评

暂无评论

Adaptive approximation in multi-objective optimization for full stochastic fatigue design problem

引用

MARINE STRUCTURES 2009年第3期22卷 610-632页

作者： Jang, Beom-Seon Ko, Dae-Eun Suh, Yong-Suk Yang, Young-Soon Samsung Heavy Ind Struct Res Part Marine Res Inst Geoje Si 656710 Gyeongsangnam D South Korea Dong Eui Univ Dept Naval Architecture & Ocean Engn Pusan 614714 South Korea Seoul Natl Univ Dept Naval Architecture & Ocean Engn Seoul 151742 South Korea

As the size of ship has grown rapidly, the importance of exact fatigue strength assessment has been recognized more and more. High concern about fatigue crack often raises target fatigue life to two or three times of ship lifetime. This leads to the use of very thick plates to reduce dynamic stress range or the application of weld toe grinding to reduce stress concentration or removing weld defects. However, such measures can cause some troubles in fabrication process. As a fatigue strength assessment procedure, full stochastic fatigue analysis based on wave loads analysis has been recommended due to its high accuracy and straightforward approach. However, its huge computing time hinders a ship designer from making iterative explorations for a better design to minimize the use of aforementioned measures. This paper proposes an efficient approach to optimize plate thicknesses around hot spots and the applications of weld toe grinding with meeting the required target fatigue life based on the full stochastic fatigue assessment. Two conflicting objectives are taken into consideration: to minimize steel weight and to minimize total weld toe grinding length. Whether to employ weld toe grinding or not for a hot spot can be seen as a selection variable. In order to treat such selection variables along with continuous variables in the multi-objective optimization, multi-objective genetic algorithm (MOGA) is introduced. This paper also employs adaptive approximation framework to resolve the computational burden of the full stochastic fatigue analysis in the optimization. The strategy to refit approximations iteratively can minimize the required number of analysis. A convergence criterion of the adaptive approximation framework is newly proposed considering the feature of discrete objective function attributed to the introduction of selection variables. One of the objective functions, toe grinding length, is purely depending on how many hot spots toe grindings are applied to.

关键词： Adaptive approximation Full stochastic fatigue analysis Liquid dome opening multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Stochastic multi-objective production-distribution network design using simulation-based optimization

引用

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2009年第2期47卷 479-505页

作者： Ding, Hongwei Benyoucef, Lyes Xie, Xiaolan ISGMP COSTEAM Project INRIA Metz France IBM China Res Lab Beijing Peoples R China Ctr Hlth Sci & Engn St Etienne France

This paper addresses the design of production-distribution networks including both supply chain configuration and related operational decisions such as order splitting, transportation allocation and inventory control. The goal is to achieve the best compromise between cost and customer service level. An optimization methodology that combines a multi-objective genetic algorithm (MOGA) and simulation is proposed to optimize not only the structure of the production-distribution network but also its operation strategies and related control parameters. A flexible simulation framework is developed to enable the automatic simulation of the production-distribution network with all possible configurations and all possible control strategies. To illustrate its effectiveness, the proposed method is applied to a real life case study from automotive industry.

关键词： Production-distribution network design Supply chains multi-objective genetic algorithm Simulation-based optimization

来源：评论

学校读者我要写书评

暂无评论

LDA Pre-processing for Classification: Class-Dependent Single objective GA and multi-objective GA Approaches

引用

10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009)

作者： Khalidji, Modjtaba Moeinzadeh, Hossein Akbari, Ahmad Raahemi, Bijan Iran Univ Sci & Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9783642043932

Pre-processing of classification data can be helpful regardless of the type of classifier. The objective of this pre-processing step is to achieve a high degree of separation among classes before the classifier is trained or tested. This results into a trace ratio problem which is difficult to solve. Methods such as Linear Discriminant Analysis (LDA) have already been used for the solution of this problem by turning it into a simpler yet inexact problem. Also, in classical LDA, the covariances of different classes are assumed to be similar, which is not the case in real-world problems. In this paper, a class-dependent approach to finding the linear transformation is proposed. This method solves the trace ratio problem directly and also removes the requirement of similar covariance matrices. While giving good results, the method is computationally expensive. To reduce the computational cost while maintaining the benefits of the classdependent method, a multi-objective formulation is proposed and solved using NSGA-II. Simulation results show great improvement in classification using various classifiers.

关键词： Pre-processing Classification Linear Discriminate Analysis genetic algorithm multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

A Study on TODO Task Management at Home

A Study on TODO Task Management at Home

引用

International Conference of Soft Computing and Pattern Recognition

作者： Ajikata, Sayaka Kobayashi, Ichiro Ochanomizu Univ Grad Sch Humanities & Sci Kobayashi Lab Adv SciBunkyo Ku 2-1-1 Ohtsuka Tokyo 1128610 Japan Ochanomizu Univ Grad Sch Humanities & Sci Adv Sci Bunkyo Ku Tokyo 1128610 Japan

ISBN: (纸本)9781424453306

In the small community like a family, there exist several TODO tasks to be performed cooperatively by the members for making the community life easier. The TODO tasks have to be performed by someone in the community, therefore, it is preferable that the tasks should be done by the members without a big burden. In this context, we focus on TODO task management in a family, and propose a method to make a schedule in which the family members cooperate each other to achieve TODO tasks by taking account of multiple constraints, e.g., members' expert ability, schedules, etc. To make such a schedule, we use multi-objective genetic algorithm.

关键词： multi-objective genetic algorithm TODO task assignment family

来源：评论

学校读者我要写书评

暂无评论

Stochastic multi-objective production-distribution network design using simulation-based optimization

Stochastic multi-objective production-distribution network d...

引用

12th IFAC/IFIP/IFORS/IEEE Symposium on Information Control Problems in Manufacturing (INCOM 2006)

作者： Ding, Hongwei Benyoucef, Lyes Xie, Xiaolan ISGMP COSTEAM Project INRIA Metz France IBM China Res Lab Beijing Peoples R China Ctr Hlth Sci & Engn St Etienne France

关键词： Production-distribution network design Supply chains multi-objective genetic algorithm Simulation-based optimization

来源：评论

学校读者我要写书评

暂无评论

MOEA-Based Fuzzy Control for Seismically Excited Structures

MOEA-Based Fuzzy Control for Seismically Excited Structures

引用

4th International Symposium on Intelligence Computation and Applications

作者： Ning, Xiang-liang Tan, Ping Zhou, Fu-lin Harbin Inst Technol Shenzhen Grad Sch Shenzhen 518055 Peoples R China Guangdong Key Lab Earthquake Engn & Appl Tech Guangzhou 510405 Guangdong Peoples R China

ISBN: (纸本)9783642049613

To guarantee the safety and functionality of structures simultaneously at different levels of seismic loadings, this paper proposes a multi-objective switching fuzzy control (MOSFC) strategy. MOSFC functions as a trigger with two control states considered. When the structure is at the state of linear, the main objection of control is the peak acceleration. On the other hand, once the nonlinear appears, the control of peak inter-storey drift is the main objection. multi-objective genetic algorithm, NSGA-II, is employed for optimizing the fuzzy control rules. A scaled model of a six-storey building with two MR dampers installed at the two bottom floors is simulated here. Linear and Nonlinear numerical simulations demonstrate the effectiveness and robustness.

关键词： multi-objective genetic algorithm fuzzy control robustness

来源：评论

学校读者我要写书评

暂无评论

Improved H2/H∞ Control Based on multi-objective genetic algorithm

Improved H2/H∞ Control Based on Multi-Objective Genetic Alg...

引用

第二十四届中国控制会议

作者： Ma Qingliang, Hu Changhua (Teaching and Research Unit 302, Xi'an Research Institute of Hi-tech, Xi'an 710025, China)

A novel approach to H/Hoptimal control is presented based on multi-objective genetic algorithm （MOGA）. To design H/Hcontroller with less conservativeness, a kind of MOGA for H/Hcontrol （HHMOGA）is especially developed. HHMOGA takes the solutions of linear matrix inequality （LMI） method as initial population. Non-dominated sorting, niche, and elitist strategy are employed in order to ensure a better design. Simulation results show that HHMOGA can achieve better performances as compared with LMI method.

关键词： optimal control H2/H_∞ control multi-objective genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Search for phosphors for use in displays and lighting using heuristics-based combinatorial materials science

引用

JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY 2009年第12期17卷 1073-1080页

作者： Sharma, Asish Kumar Sohn, Kee-Sun Sunchon Natl Univ Dept Mat Sci & Met Engn Sunchon City 540742 Chonnam South Korea

According to the recent demand for materials for use in various displays and solid-state lighting, new phosphors with improved performance have been consistently pursued. multi-objective genetic-algorithm-assisted combinatorial-material-search (MOGACMS) strategies have been applied to various multi-compositional inorganic systems to search for new phosphors and to optimize the properties of phosphors. In addition, the troublesome, complex problem of high-throughput experimentation (HTE), the inconsistency, which is frequently faced by combinatorial material scientists, is especially emphasized. The luminance and inconsistency was treated as two objective functions in our MOGACMS strategy to pinpoint and optimize promising phosphors with high photoluminance and reliable reproducibility. Using MOGACMS, several multi-dimensional oxide systems were screened in term of the minimization of inconsistency and the maximization of luminance.

关键词： Combinatorial material science multi-objective genetic algorithm PDP red phosphor

来源：评论

学校读者我要写书评

暂无评论

U-shaped assembly line balancing problem with genetic algorithm

引用

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2008年第16期46卷 4637-4649页

作者： Hwang, Rea Kook Katayama, Hiroshi Gen, Mitsuo Waseda Univ Grad Sch Sci & Engn Shinjuku Ward Tokyo 1690072 Japan Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Fukuoka 8080135 Japan

This paper presents a multi-objective genetic algorithm (moGA) to solve the U-shaped assembly line balancing problem (UALBP). As a consequence of introducing the just-in-time (JIT) production principle, it has been recognized that U-shaped assembly line systems offer several benefits over the traditional straight line systems. We consider both the traditional straight line system and the U-shaped assembly line system, thus as an unbiased examination of line efficiency. The performance criteria considered are the number of workstations (the line efficiency) and the variation of workload. The results of experiments show that the proposed model produced as good or even better line efficiency of workstation integration and improved the variation of workload.

关键词： U-shaped assembly line multi-objective genetic algorithm priority-based coding

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：