[1]罗景峰 刘艳秋.一种全终端网络可靠性多目标优化模型及求解[J].计算机技术与发展,2007,(08):23-25.
 LUO Jing-feng,LIU Yan-qiu.A Multi- Objective Optimization Model for All- Terminal Networks Reliability and Its Solutions[J].,2007,(08):23-25.
点击复制

一种全终端网络可靠性多目标优化模型及求解()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年08期
页码:
23-25
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Multi- Objective Optimization Model for All- Terminal Networks Reliability and Its Solutions
文章编号:
1673-629X(2007)08-0023-03
作者:
罗景峰 刘艳秋
沈阳工业大学运筹与控制研究所
Author(s):
LUO Jing-feng LIU Yan-qiu
Research Institute of Operation and Control, Shenyang University of Technology
关键词:
多目标优化主干网络全终端可靠度模拟退火算法Pareto最优解
Keywords:
multiple - objective optimization backbone network all - terminal reliability simulated annealing algorithm Pareto optimal solution
分类号:
TP301.6
文献标志码:
A
摘要:
分析了全终端网络可靠性设计问题,针对单目标优化存在的不足,建立了一种更加贴近工程实际的极大化可靠度,同时极小化投资成本的多目标优化模型,并利用模拟退火算法对其进行了优化求解。计算机仿真实例表明:模拟退火算法在求解此问题时,无论是在Pareto解的数量上还是在Pareto解的范围上都能得到较好的优化效果
Abstract:
The design problem of all - terminal networks reliability is analyzed. For the shortfall of single- objective optimization, a multi - objective optimization model which minimize the cost and maximate reliabilities is founded. The optimization model is solved by SA. Computer simulation shows that SA can get a satisfactory optimization result on range and quantity of Pareto optimal solutions

相似文献/References:

[1]廖宁 刘建勋 王俊年.DPSO算法在服务网格资源调度中的应用[J].计算机技术与发展,2009,(08):104.
 LIAO Ning,LIU Jian-xun,WANG Jun-nian.Application of Discrete Particle Swarm Optimization Algorithm to Service Grid Resource Optimization Scheduling[J].,2009,(08):104.
[2]王丽红 倪志伟 高雅卓.改进的蚁群算法求解多目标车间作业调度问题[J].计算机技术与发展,2008,(10):49.
 WANG Li-hong,NI Zhi-wei,GAO Ya-zhuo.An Improved Ant Colony Algorithm for Multi - Objective Job - Shop Scheduling Problem[J].,2008,(08):49.
[3]饶玉佳 程家兴 夏军 李志俊.基于佳点集的多目标遗传算法[J].计算机技术与发展,2008,(12):67.
 RAO Yu-jia,CHENG jia-xing,XIA Jun,et al.Multi- Objective Optimization Genetic Algorithm Based on Good Point Set[J].,2008,(08):67.
[4]吴昊,杨佳,王会颖,等.求解人力资源分配问题的多目标和声搜索算法[J].计算机技术与发展,2013,(02):65.
 WU Hao,YANG Jia,WANG Hui-ying,et al.Multi-objective Harmony Search Algorithm for Solving Human Resource Allocation Problem[J].,2013,(08):65.
[5]王越,吕光宏.改进的粒子群求解多目标优化算法[J].计算机技术与发展,2014,24(02):42.
 WANG Yue,Lü Guang-hong.Modified Particle Swarm Optimization Algorithm Solving Multi-objective[J].,2014,24(08):42.
[6]殷小龙,李君,万明祥. 云环境下基于改进NSGA II的虚拟机调度算法[J].计算机技术与发展,2014,24(08):71.
 YIN Xiao-long,LI Jun,WAN Ming-xiang. Virtual Machines Scheduling Algorithm Based on Improved NSGA II in Cloud Environment[J].,2014,24(08):71.
[7]刘慧慧. 一种改进的粒子群多目标优化算法研究[J].计算机技术与发展,2015,25(01):87.
 LIU Hui-hui. Research on an Improved Multi-objective Optimization Algorithm of Particle Swarm[J].,2015,25(08):87.
[8]黄志川,吴蒙. 多目标优化的相控阵三维方向调制方法[J].计算机技术与发展,2016,26(11):111.
 HUANG Zhi-chuan,WU Meng. Three-dimensional Direction Modulation of Phased Array Based on Multi-objective Optimization[J].,2016,26(08):111.
[9]娄艳秋[],庄毅[],顾晶晶[],等. 协同干扰环境下基于IMOABC的任务调度方法[J].计算机技术与发展,2017,27(11):46.
 LOU Yan-qiu[],ZHUANG Yi[],GU Jing-jing[],et al. A Task Scheduling Method Based on IMOABC in Collaboration Interference Environment[J].,2017,27(08):46.
[10]吴超,何利文,唐澄澄,等.基于多目标遗传算法的云数据安全存储方法[J].计算机技术与发展,2018,28(11):135.[doi:10.3969/ j. issn.1673-629X.2018.11.030]
 WU Chao,HE Li-wen,TANG Cheng-cheng,et al.Cloud Data Safe Placement Method Based on Multi-objective Genetic Algorithm[J].,2018,28(08):135.[doi:10.3969/ j. issn.1673-629X.2018.11.030]

备注/Memo

备注/Memo:
国家自然科学基金重大课题(70431003);辽宁省自然科学基金资助项目(2002107)罗景峰(1975-),男(蒙古族),辽宁阜新人,硕士研究生,研究方向为全终端网络可靠性模型与优化算法;刘艳秋,博士后,教授,研究方向为复杂系统可靠性的建模与优化
更新日期/Last Update: 1900-01-01