.png){kind=icon}
返回
New methods for system planning
.png){kind=icon}
PRE
AI
DOI：10.1016/j.asoc.2010.02.009.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, three artificial intelligence techniques, genetic algorithm (GA), simulated annealing (SA), and tabu search (TS) are proposed to search for solutions to transmission network planning. The performance of each of the techniques is studied and the results compared with these from conventional methods. The problem of transmission network planning is formulated as a genetic algorithm, simulated annealing and tabu search with the cost of new lines and security constraints at each bus-bar included. The novel results from a set of tests carried out on the prototype show that the application of genetic algorithm; simulated annealing and tabu search techniques are feasible in transmission network planning. Finally, observations (1), (2), (3), (4), and (5) are presented by analysis of variance. (C) 2010 Elsevier B.V. All rights reserved.
Keyword:
Genetic algorithm
Simulated annealing
Tabu search
Artificial intelligence
Transmission network planning
Analysis of variance
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
暂无机构信息
引用论文
.png){kind=icon}
Adsorption of Cu(II), Pb(II), and Cd(II) Ions from Acidic Aqueous Solutions by Diethylenetriaminepentaacetic Acid-Modified Magnetic Graphene Oxide二乙烯三胺五乙酸改性的磁性氧化石墨烯对酸性水溶液中Cu(II)，Pb(II) 和Cd(II) 离子的吸附
PREAI
分享收藏分享收藏Resistance and the Development of Scientific Practice: Designing the Mangle Into Science Instruction
PREAI
分享收藏
查看更多内容