Large-Scale Network Plan Optimization Using Improved Particle Swarm Optimization Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-27
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
No relevant reports have been reported on the optimization of a large-scale network plan with more than 200 works due to the complexity of the problem and the huge amount of computation.
In this paper, an improved particle swarm optimization algorithm via optimization of initial particle swarm (OIPSO) is first explained by the stochastic processes theory.
Then two optimization examples are solved using this method which are the optimization of resource-leveling with fixed duration and the optimization of resources constraints with shortest project duration in a large network plan with 223 works.
Through these two examples, under the same number of iterations, it is proven that the improved algorithm (OIPSO) can accelerate the optimization speed and improve the optimization effect of particle swarm optimization (PSO).
American Psychological Association (APA)
Zhang, Houxian& Yang, Zhaolan. 2017. Large-Scale Network Plan Optimization Using Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1190130
Modern Language Association (MLA)
Zhang, Houxian& Yang, Zhaolan. Large-Scale Network Plan Optimization Using Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1190130
American Medical Association (AMA)
Zhang, Houxian& Yang, Zhaolan. Large-Scale Network Plan Optimization Using Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1190130
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190130