Terahertz spectroscopic uncertainty analysis for explosive mixture components determination using multi-objective micro-genetic algorithm

作者: Yi Chen , Yong Ma , Zheng Lu , Lixia Qiu , Jin He

DOI: 10.1016/J.ADVENGSOFT.2011.04.011

关键词: Genetic algorithmBiological systemComputationTest caseTerahertz spectroscopy and technologyUncertainty analysisEngineeringExplosive materialTerahertz radiationComponent (UML)Econometrics

摘要: In practical applications, many suspicious samples may be a kind of mixture and consist various chemical components that make the spectral analysis difficult. Various explosives related compounds (ERC) in can identified concentration each component estimated based on known data pure explosive components. this paper, terahertz spectroscopic uncertainty using micro-GA has been proposed, which random assignment alleles from parents to offspring is implied. An intelligent computation-based technical road-map also provided for optimisation combination analysis. A simulation with two given test cases ERC devised. The results show its derivatives have potential applications fields security, medicine food industry fast identify mixtures.

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