An Alternative Solution to the Software Project Scheduling Problem

被引：1
|
作者：
Crawford, Broderick [1 ,2 ,3 ]
Soto, Ricardo [1 ,4 ,5 ]
Astorga, Gino [1 ]
Olguin, Eduardo [2 ]
机构：
[1] Pontificia Univ Catolica Valparaiso, Valparaiso, Chile
[2] Univ San Sebastian, Providencia, Chile
[3] Univ Cent Chile, Santiago, Chile
[4] Univ Autonoma Chile, Temuco, Chile
[5] Univ Cient Sur, Lima, Peru
来源：
ARTIFICIAL INTELLIGENCE PERSPECTIVES IN INTELLIGENT SYSTEMS, VOL 1 | 2016年 / 464卷
关键词：
Intelligent Water Drops; Project management; Software Project Scheduling Problem; WATER DROPS ALGORITHM; OPTIMIZATION;
D O I：
10.1007/978-3-319-33625-1_45
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Due to the competitiveness of the software industry a more stressful tasks for software project managers allocation of the human resources to the different tasks that perform the project. This is not an easy task and it is necessary that is computationally supported since every day projects are larger and these should be developed in the shortest time and possible costs. We propose to use a constructive metaheuristics called Intelligent Water Drops. In this paper the result are compared with another constructive metaheuristics obtaining promising performance.
引用
收藏
页码：501 / 510
页数：10
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