Abstract
| Language | English |
|---|---|
| Number of pages | 25 |
| Publication status | Published - 18 Aug 2008 |
| Event | AIAA/AAS Astrodynamics Specialist Conference 2008 - Hawaii, United States Duration: 18 Aug 2008 → 21 Aug 2008 |
Conference
| Conference | AIAA/AAS Astrodynamics Specialist Conference 2008 |
|---|---|
| Country | United States |
| City | Hawaii |
| Period | 18/08/08 → 21/08/08 |
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Keywords
- global optimization
- space trajectory design
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On testing global optimization algorithms for space trajectory design. / Vasile, Massimiliano; Minisci, Edmondo; Locatelli, Marco.
2008. Paper presented at AIAA/AAS Astrodynamics Specialist Conference 2008, Hawaii, United States.Research output: Contribution to conference › Paper
TY - CONF
T1 - On testing global optimization algorithms for space trajectory design
AU - Vasile, Massimiliano
AU - Minisci, Edmondo
AU - Locatelli, Marco
PY - 2008/8/18
Y1 - 2008/8/18
N2 - In this paper we discuss the procedures to test a global search algorithm applied to a space trajectory design problem. Then, we present some performance indexes that can be used to evaluate the effectiveness of global optimization algorithms. The performance indexes are then compared highlighting the actual significance of each one of them. A number of global optimization algorithms are tested on four typical space trajectory design problems. From the results of the proposed testing procedure we infer for each pair algorithm-problem the relation between the heuristics implemented in the solution algorithm and the main characteristics of the problem under investigation. From this analysis we derive a novel interpretation of some evolutionary heuristics, based on dynamical system theory and we significantly improve the performance of one of the tested algorithms.
AB - In this paper we discuss the procedures to test a global search algorithm applied to a space trajectory design problem. Then, we present some performance indexes that can be used to evaluate the effectiveness of global optimization algorithms. The performance indexes are then compared highlighting the actual significance of each one of them. A number of global optimization algorithms are tested on four typical space trajectory design problems. From the results of the proposed testing procedure we infer for each pair algorithm-problem the relation between the heuristics implemented in the solution algorithm and the main characteristics of the problem under investigation. From this analysis we derive a novel interpretation of some evolutionary heuristics, based on dynamical system theory and we significantly improve the performance of one of the tested algorithms.
KW - global optimization
KW - space trajectory design
UR - http://www.space-flight.org/AAS_meetings/2008_astro/2008%20astro.html
M3 - Paper
ER -