Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach
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 opt...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/145369 |
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| _version_ | 1832548344213274624 |
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| author | Ossama Abdelkhalik |
| author_facet | Ossama Abdelkhalik |
| author_sort | Ossama Abdelkhalik |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a950cf9395e44f06be0cdd4a89123bbf |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-a950cf9395e44f06be0cdd4a89123bbf2025-02-03T06:14:20ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742013-01-01201310.1155/2013/145369145369Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution ApproachOssama Abdelkhalik0Mechanical Engineering-Engineering Mechanics Department, Michigan Technological University, 815 R.L. Smith Building, 1400 Townsend Dr., Houghton, Mine 49931-1295, USAThe 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.http://dx.doi.org/10.1155/2013/145369 |
| spellingShingle | Ossama Abdelkhalik Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach International Journal of Aerospace Engineering |
| title | Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach |
| title_full | Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach |
| title_fullStr | Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach |
| title_full_unstemmed | Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach |
| title_short | Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach |
| title_sort | autonomous planning of multigravity assist trajectories with deep space maneuvers using a differential evolution approach |
| url | http://dx.doi.org/10.1155/2013/145369 |
| work_keys_str_mv | AT ossamaabdelkhalik autonomousplanningofmultigravityassisttrajectorieswithdeepspacemaneuversusingadifferentialevolutionapproach |