Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm

Joint Authors

Liu, Mengqi
Shan, Miyuan
Wu, Juan

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-12

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

For most enterprises, in order to win the initiative in the fierce competition of market, a key step is to improve their R&D ability to meet the various demands of customers more timely and less costly.

This paper discusses the features of multiple R&D environments in large make-to-order enterprises under constrained human resource and budget, and puts forward a multi-project scheduling model during a certain period.

Furthermore, we make some improvements to existed particle swarm algorithm and apply the one developed here to the resource-constrained multi-project scheduling model for a simulation experiment.

Simultaneously, the feasibility of model and the validity of algorithm are proved in the experiment.

American Psychological Association (APA)

Liu, Mengqi& Shan, Miyuan& Wu, Juan. 2014. Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050514

Modern Language Association (MLA)

Liu, Mengqi…[et al.]. Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050514

American Medical Association (AMA)

Liu, Mengqi& Shan, Miyuan& Wu, Juan. Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050514

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1050514