.png){kind=icon}
返回
The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm
.png){kind=icon}
OA
AI
DOI：10.1016/j.autcon.2012.10.003.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Resource management ensures that a project is completed on time and at cost, and that its quality is as previously defined: nevertheless, resources are scarce and their use in the activities of the project leads to conflicts in the schedule. Resource leveling problems consider how to make the resource consumption as efficient as possible. This paper presents an Adaptive Genetic Algorithm for the Resource Leveling Problem, and its novelty lies in using the Weibull distribution to establish an estimation of the global optimum as a termination condition. The extension of the project deadline with a penalty is allowed, avoiding the increase in the project criticality. The algorithm is tested with the Project Scheduling Problem Library PSPLIB. The proposed algorithm is implemented using VBA for Excel 2010 to provide a flexible and powerful decision support system that enables practitioners to choose between different feasible solutions to a problem in realistic environments. (C) 2012 Elsevier B.V. All rights reserved.
Keyword:
Project scheduling
Resource leveling
Genetic algorithms
Benchmarking
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:
11.5
论文数:
6.3K
被引数:
4.2W
机构
引用论文
.png){kind=icon}
分享收藏Metaheuristics for project and construction management - A state-of-the-art review用于项目和施工管理的元启发式-最先进的评论
PREAI
分享收藏
查看更多内容