• DocumentCode
    419108
  • Title

    Evolutionary testing as both a testing and redesign tool: a study of a shipboard firemain´s valve and pump controls

  • Author

    Anderson, Carl ; Bonabeau, Eric ; Scott, John M.

  • Author_Institution
    Icosystem Corp., Cambridge, MA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    1089
  • Abstract
    Given the large number of possible fault scenarios, complex control systems are usually impossible to test exhaustively. One promising approach, however, is evolutionary testing (ET) in which a genetic algorithm (GA) evolves critical test situations. We evolved challenges (pipe rupture and water demand) to the valve and pump controls of a shipboard firemain system. ET found minor events that collectively produced significant system failure, and also identified a modification to the ship design that improved system performance. ET can also be used to map the boundary of search space for a given, user-defined criterion. The potential of this powerful, generic technique not just for testing but also for system redesign is thus emphasized.
  • Keywords
    control system CAD; control system analysis computing; evolutionary computation; fires; genetic algorithms; hydraulic systems; pumps; ships; testing; valves; control systems testing; evolutionary testing; genetic algorithm; pipe rupture; shipboard firemain pump controls; shipboard firemain valve control; system redesign; Control systems; Electronic ballasts; Genetic algorithms; Liquid crystal on silicon; Marine vehicles; Power engineering and energy; Pressure control; System performance; System testing; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1330983
  • Filename
    1330983