Testing heuristic tools for life support system analysis

Luis F Rodriguez, Haibei Jiang, Scott Bell, David Kortenkamp

Research output: Contribution to journalConference article

Abstract

BioSim is a simulation tool which captures many basic life support functions in an integrated simulation. Conventional analyses can not efficiently consider all possible life support system configurations. Heuristic approaches are a possible alternative. In an effort to demonstrate efficacy, a validating experiment was designed to compare the configurational optima discovered by heuristic approaches and an analytical approach. Thus far, it is clear that a genetic algorithm finds reasonable optima, although an improved fitness function is required. Further, despite a tight analytical fit to data, optimization produces disparate results which will require further validation.

Original languageEnglish (US)
JournalSAE Technical Papers
DOIs
StatePublished - Jan 1 2007
Event37th International Conference on Environmental Systems, ICES 2007 - Chicago, IL, United States
Duration: Jul 9 2007Jul 12 2007

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Systems analysis
Testing
Genetic algorithms
Experiments

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

Cite this

Testing heuristic tools for life support system analysis. / Rodriguez, Luis F; Jiang, Haibei; Bell, Scott; Kortenkamp, David.

In: SAE Technical Papers, 01.01.2007.

Research output: Contribution to journalConference article

Rodriguez, Luis F ; Jiang, Haibei ; Bell, Scott ; Kortenkamp, David. / Testing heuristic tools for life support system analysis. In: SAE Technical Papers. 2007.
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