Using genetic algorithms in chem-bio defense applications

Sue Ellen Haupt, Randy L. Haupt, George Spencer Young

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

There are many problems in Security and Defense that require a robust optimization technique, including those that involve the release of a chemical or biological contaminant. This paper discusses using a genetic algorithm for addressing such problems. An example is given how a mixed integer genetic algorithm can be used in conjunction with field sensor data to invert for source information and all necessary meteorological data. A new mixed integer genetic algorithm is described that is a state-of-the-art tool capable of optimizing a wide range of objective functions. Such an algorithm is useful for optimizing atmospheric stability, wind speed, wind direction, and source location. We demonstrate that the algorithm is successful at reconstructing these source and meteorological parameters.

Original languageEnglish (US)
Title of host publicationProceedings - 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007
Pages151-154
Number of pages4
DOIs
StatePublished - 2007
Event2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007 - Edinburgh, United Kingdom
Duration: Aug 9 2007Aug 10 2007

Other

Other2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007
CountryUnited Kingdom
CityEdinburgh
Period8/9/078/10/07

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Control and Systems Engineering

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    Haupt, S. E., Haupt, R. L., & Young, G. S. (2007). Using genetic algorithms in chem-bio defense applications. In Proceedings - 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007 (pp. 151-154). [4290958] https://doi.org/10.1109/BLISS.2007.41