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

Anderson, Carl W.; Bonabeau, Eric; Scott, J. M.

doi:10.1109/cec.2004.1330983

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…As a result, the pruning of potential scenarios and the selection of variables to be considered depends on the pre-existing mental models of scenario developers in order to determine what warrants attention and what does not. The step-wise search across alternative drivers that characterize different scenarios may miss situations where the most interesting or challenging cases depend on combinations of factors that may be missed by manually considering each variable in isolation (the differences between testing the importance of variables independently versus in groups has become important in the design of technical systems, and constitutes one of the benefits of employing a model in the design of scenarios when interdependencies exist between variables in the system; see Lempert et al 152 and Anderson et al 153 ).…”

Section: Bringing Abms Into Net Assessmentmentioning

confidence: 99%

Toward computational net assessment

Frank

2016

Journal of Defense Modeling & Simulation

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a. In 1973, the Department of Defense (DoD) created the Office of Net Assessment (ONA) with a charter and unique approach to strategic analysis. This approach questioned the suitability of systems analysis to assess long-term, dynamic competition between complex military organizations, and turned to more qualitative methods as analytic alternatives. Developments in computing technology and modeling methods over the last two decades, most notably agent-based modeling (ABM), provide new opportunities to address the central analytic questions that motivated the original development of net assessment as a distinctive practice of strategic analysis. By employing ABM to simulate and analyze the behavior of strategic, adaptive, boundedly rational actors, which have previously frustrated mathematical analysis, a new generation of computational models can provide opportunities to add rigor to net assessment.

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Section: Bringing Abms Into Net Assessmentmentioning

confidence: 99%

Toward computational net assessment

Frank

2016

Journal of Defense Modeling & Simulation

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“…The most appropriate method for this problem seems to be test data generation using metaheuristic search techniques (McMinn 2004). These testing techniques known as evolutionary testing have shown their high efficiency in complex-system testing (Mantere and Alander 2005;Anderson et al 2004). As with random testing, evolutionary testing starts with probing the entire search space.…”

mentioning

confidence: 99%

Evolutionary Testing of Hydraulic Simulator Functionality

Gorev

Kodzhespirova

Kovalenko³

et al. 2011

Water Resour Manage

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A method for automatic functional testing of hydraulic simulators is proposed. The method is based on using genetic algorithms to search for network parameter values at which the simulator under test computes solutions that do not satisfy the governing network equations. The search is made by maximizing the residual of the governing equations. The application of the method to the latest version of the EPANET hydraulic simulator demonstrates its efficiency in detecting incorrect results. The results of quantitative assessment of the functional adequacy of the EPANET solver by random testing are presented. The paper provides examples of hydraulic networks and of parameter value combinations for which incorrect results occur. An example of the use of automatic functional testing together with automatic convergence testing in a comprehensive study of the flow control valve model of the EPANET solver is given.

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“…Building on previous efforts [1], We have used evolutionary testing to evolve challenges, i.e. component level damage, to an onboard ship system on which is layered a set of intelligent agents that make inferences about the system's state and reconfigure the system.…”

Section: Introductionmentioning

confidence: 99%

Using genetic algorithms for naval subsystem damage assessment and design improvements

McCubbin

Scheidt

Bandte

et al. 2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, controllers and networking components to diagnose and reconfigure the auxiliary systems. Testing these systems will be difficult with traditional methods of fault analysis due to the interconnected and automatic nature of these subsystems. We have designed a suite of genetic algorithms to find interesting and hidden damage scenarios in a testbed of a naval subsystem. Given this knowledge, we use a genetic algorithm to improve upon the design of this subsystem.

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

Cited by 5 publications

References 4 publications

Toward computational net assessment

Toward computational net assessment

Evolutionary Testing of Hydraulic Simulator Functionality

Using genetic algorithms for naval subsystem damage assessment and design improvements

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