.png){kind=icon}
返回
An Uncertain Random Programming Model for Project Scheduling Problem
.png){kind=icon}
OA
AI
DOI：10.1002/int.21682.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Project scheduling problem (PSP) is to determine the resource allocation schedule for the trade-off between the project cost and the completion time. In this paper, PSP in the environment with uncertainty and randomness simultaneously is considered. In detail, the concepts of uncertain variable and uncertain random variable are introduced. Based on some concepts and theorems of chance theory, an uncertain random project scheduling model is built. For some special case, the proposed uncertain random programming model is transformed to a crisp mathematical programming model. Besides, uncertain random simulation techniques and genetic algorithm are integrated into a hybrid intelligent algorithm for searching the quasi-optimal schedule. (C) 2014 Wiley Periodicals, Inc.
Keyword:
FUZZY RANDOM-VARIABLES
NETWORK
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:
3.7
论文数:
3.1K
被引数:
8.1K
机构
引用论文
.png){kind=icon}
分享收藏分享收藏
查看更多内容