A Hybrid Genetic Algorithm for Scheduling and Selecting a Project Portfolio

被引：0

作者：

Shi, Bo ^{[1
]}

Wang, Hong ^{[2
]}

Qi, Lu ^{[1
]}

机构：

[1] JiNing Univ, Dept Comp Sci, XingTan Rd 1, Qufu City 273155, Shandong, Peoples R China

[2] ShanDong Normal Univ, Informat Sci & Engn Sch, Jinan 250014, Shandong, Peoples R China

来源：

FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2011) | 2011年 / 122卷

关键词：

project portfolio; Taguchi method; genetic algorithm; 0-1 integer programming; MODEL; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we consider the problems associated with selecting and scheduling a set of R&D projects to maximize the overall net present value. This paper proposes a zero-one integer programming model in conjunction with a genetic algorithm (GA) to overcome these problems. Taguchi Method was employed in the design of the GA parameters to increase the efficiency of the proposed method. We conclude that the proposed GA is capable of efficiently solving problems associated with the management of portfolios.

引用

页码：69 / +

页数：2

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