| タイトル | Optimization of Operations Resources via Discrete Event Simulation Modeling |
| 本文（外部サイト） | http://hdl.handle.net/2060/20040110937 |
| 著者（英） | Unal, R.; Morris, D.; Joshi, B.; White, N. |
| 著者所属（英） | NASA Langley Research Center |
| 発行日 | 1996-01-01 |
| 言語 | eng |
| 内容記述 | The resource levels required for operation and support of reusable launch vehicles are typically defined through discrete event simulation modeling. Minimizing these resources constitutes an optimization problem involving discrete variables and simulation. Conventional approaches to solve such optimization problems involving integer valued decision variables are the pattern search and statistical methods. However, in a simulation environment that is characterized by search spaces of unknown topology and stochastic measures, these optimization approaches often prove inadequate. In this paper, we have explored the applicability of genetic algorithms to the simulation domain. Genetic algorithms provide a robust search strategy that does not require continuity and differentiability of the problem domain. The genetic algorithm successfully minimized the operation and support activities for a space vehicle, through a discrete event simulation model. The practical issues associated with simulation optimization, such as stochastic variables and constraints, were also taken into consideration. |
| NASA分類 | Systems Analysis and Operations Research |
| レポートNO | AIAA Paper 96-4181 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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