![](/images/graphics-bg.png)
Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach
Author
Source
International Journal of Aerospace Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
The biologically inspired concept of hidden genes has been recently introduced in genetic algorithms to solve optimization problems where the number of design variables is variable.
In multigravity-assist trajectories, the hidden genes genetic algorithms demonstrated success in searching for the optimal number of swing-bys and the optimal number of deep space maneuvers.
Previous investigations in the literature for multigravity-assist trajectory planning problems show that the standard differential evolution is more effective than the standard genetic algorithms.
This paper extends the concept of hidden genes to differential evolution.
The hidden genes differential evolution is implemented in optimizing multigravity-assist space trajectories.
Case studies are conducted, and comparisons to the hidden genes genetic algorithms are presented in this paper.
American Psychological Association (APA)
Abdelkhalik, Ossama. 2013. Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach. International Journal of Aerospace Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-449307
Modern Language Association (MLA)
Abdelkhalik, Ossama. Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach. International Journal of Aerospace Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-449307
American Medical Association (AMA)
Abdelkhalik, Ossama. Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach. International Journal of Aerospace Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-449307
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449307