Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm
Joint Authors
Liu, Mengqi
Shan, Miyuan
Wu, Juan
Source
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