Abstract
This paper investigates the use of a variable chromosome transcription to enable construction and global optimization of multi-phase trajectory problems by an automated global optimization framework for multi-body problems. We demonstrate how the variable chromosome transcription operates with NSGA-II, a multi-objective genetic algorithm, to select number of phases and phase types for impulsive and low-thrust missions in three-body transfer problems. For both impulsive and low-thrust transfers, we show how our framework with the variable chromosome transcription naturally converges GA populations to phasespecific groups on multi-objective fronts.
| Original language | English (US) |
|---|---|
| Title of host publication | Spaceflight Mechanics 2017 |
| Editors | Jon A. Sims, Frederick A. Leve, Jay W. McMahon, Yanping Guo |
| Publisher | Univelt Inc. |
| Pages | 731-750 |
| Number of pages | 20 |
| Volume | 160 |
| ISBN (Print) | 9780877036371 |
| State | Published - Jan 1 2017 |
| Externally published | Yes |
| Event | 27th AAS/AIAA Space Flight Mechanics Meeting, 2017 - San Antonio, United States Duration: Feb 5 2017 → Feb 9 2017 |
Other
| Other | 27th AAS/AIAA Space Flight Mechanics Meeting, 2017 |
|---|---|
| Country | United States |
| City | San Antonio |
| Period | 2/5/17 → 2/9/17 |
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ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science
Cite this
Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription. / Shah, Vishwa; Beeson, Ryne; Coverstone, Victoria.
Spaceflight Mechanics 2017. ed. / Jon A. Sims; Frederick A. Leve; Jay W. McMahon; Yanping Guo. Vol. 160 Univelt Inc., 2017. p. 731-750.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automated global optimization of multi-phase trajectories in the three-body problem using a variable chromosome transcription
AU - Shah, Vishwa
AU - Beeson, Ryne
AU - Coverstone, Victoria
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This paper investigates the use of a variable chromosome transcription to enable construction and global optimization of multi-phase trajectory problems by an automated global optimization framework for multi-body problems. We demonstrate how the variable chromosome transcription operates with NSGA-II, a multi-objective genetic algorithm, to select number of phases and phase types for impulsive and low-thrust missions in three-body transfer problems. For both impulsive and low-thrust transfers, we show how our framework with the variable chromosome transcription naturally converges GA populations to phasespecific groups on multi-objective fronts.
AB - This paper investigates the use of a variable chromosome transcription to enable construction and global optimization of multi-phase trajectory problems by an automated global optimization framework for multi-body problems. We demonstrate how the variable chromosome transcription operates with NSGA-II, a multi-objective genetic algorithm, to select number of phases and phase types for impulsive and low-thrust missions in three-body transfer problems. For both impulsive and low-thrust transfers, we show how our framework with the variable chromosome transcription naturally converges GA populations to phasespecific groups on multi-objective fronts.
UR - http://www.scopus.com/inward/record.url?scp=85030989562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030989562&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9780877036371
VL - 160
SP - 731
EP - 750
BT - Spaceflight Mechanics 2017
A2 - Sims, Jon A.
A2 - Leve, Frederick A.
A2 - McMahon, Jay W.
A2 - Guo, Yanping
PB - Univelt Inc.
ER -