Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare

Kang, Bo Sun; Kwon, Se Jung; Lee, Jun Hee; Kim, Tag Gon

doi:10.1155/2018/4521672

Cited by 7 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To analyze various scenarios, we remain two additional techniques, i.e., simulation acceleration for reducing the overall simulation time and accurate statistical methods for describing the results. We have studied several modeling methods to reduce the simulation execution time by embracing a slight amount of error [57], [58]. Although these techniques are outside the scope of this study, it is helpful to use them for various complementary analyses of networked CPSs.…”

Section: Discussionmentioning

confidence: 99%

Model-Based Design of Defense Cyber-Physical Systems to Analyze Mission Effectiveness and Network Performance

2019

Self Cite

View full text Add to dashboard Cite

This paper discusses two modeling and simulation (M&S) issues for defense cyber-physical systems (CPSs): 1) model-driven development via model interoperation and 2) simulation analysis between interoperated models. To clearly describe the network capabilities between the CPSs within network-centric warfare (NCW), we first modeled communication factors separately from the overall CPSs. The CPS models and the network model were considered discrete event systems, which were realized with DEVSim++ and ns-3, respectively. For the simulation of the two types of models, we interoperated them with high-level architecture-based middleware to preserve the independence of each one. The goal for NCW analysis is to find a balance between the computational, physical, and communication factors of the defense CPSs to achieve their missions within a networked environment. In the case study of network-centric ground warfare, the CPS models generate mission effectiveness to be analyzed according to realistic network conditions; and at the same time, the network model enables the analysis of the network performance given validated combat scenarios. We expect this paper will help simulation experts interactively analyze computational and physical capabilities of the CPSs as well as communication effects between the CPSs.INDEX TERMS Network-centric warfare, system of systems, discrete event system, model interoperation, linear regression analysis, measure of effectiveness, measure of performance.

show abstract

Section: Discussionmentioning

confidence: 99%

Model-Based Design of Defense Cyber-Physical Systems to Analyze Mission Effectiveness and Network Performance

2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, in Table 2 , we can know the duration time of the relaxed social distancing policy (

) in the policy parameter set based on the real-world data, but it is impossible to know the exact rate of infection (

) in the infection parameter set in the SIRD model. In the model identification step, to solve this problem, we identified the constructed infection simulation model using a data set acquired from the real-world and simulation optimizer [ 35 ], which calibrates the parameters in the simulation model using the optimization algorithms [ 36 , 37 , 38 ].…”

Section: Proposed Workmentioning

confidence: 99%

Hybrid Model-Based Simulation Analysis on the Effects of Social Distancing Policy of the COVID-19 Epidemic

Kang

Park

Jang

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

This study utilizes modeling and simulation to analyze coronavirus (COVID-19) infection trends depending on government policies. Two modeling requirements are considered for infection simulation: (1) the implementation of social distancing policies and (2) the representation of population movements. To this end, we propose an extended infection model to combine analytical models with discrete event-based simulation models in a hybrid form. Simulation parameters for social distancing policies are identified and embedded in the analytical models. Administrative districts are modeled as a fundamental simulation agent, which facilitates representing the population movements between the cities. The proposed infection model utilizes real-world data regarding suspected, infected, recovered, and deceased people in South Korea. As an application, we simulate the COVID-19 epidemic in South Korea. We use real-world data for 160 days, containing meaningful days that begin the distancing policy and adjust the distancing policy to the next stage. We expect that the proposed work plays a principal role in analyzing how social distancing effectively affects virus prevention and provides a simulation environment for the biochemical field.

show abstract

“…In the past, the integration of conceptual models and simulation models has been paid closer attention. For example, researchers have developed architectural models enabled executable simulation models based on colored Petri net [42,43], agent-based modeling [44], and network-based simulation [45,46]. However, not much work has focused on building the connection between DoDAF models and optimization-based models or analytical models [10].…”

Section: Mbse and Architectural Models Enabled Analysismentioning

confidence: 99%

Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

2020

View full text Add to dashboard Cite

System of Systems (SoS) is designed to deliver value to participant stakeholders in a dynamic and uncertain environment where new systems are added and current systems are removed continuously and on their own volition. is requires effective evolution management at the SoS architectural level with adequate support of process, methods, and tools. is paper follows the principle of Model-Based Systems Engineering (MBSE) and develops a holistic framework integrating MBSE conceptual representations and approximate dynamic programming (ADP) to support the SoS evolution. e conceptual models provide a common architectural representation to improve communication between various decision makers while the dynamic optimization method suggests evolution planning decisions from the analytical perspective. e Department of Defense Architecture Framework (DoDAF) models using Systems Modeling Language (SysML) are used as MBSE artifacts to connect with ADP modeling elements through DoDAF metamodels to increase information traceability and reduce unnecessary information loss. Using a surface warfare SoS as an example, this paper demonstrates and explains the procedures of developing DoDAF models, mapping DoDAF models to ADP elements, formulating ADP formulation, and generating evolutionary decisions. e effectiveness of using ADP in supporting evolution to achieve a near-optimal solution that can maximize the SoS capability over time is illustrated by comparing ADP solution to other alternative solutions. e entire framework also sheds light on bridging the DoDAF-based conceptual models and other mathematical optimization methods.

show abstract

Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare

Cited by 7 publications

References 46 publications

Model-Based Design of Defense Cyber-Physical Systems to Analyze Mission Effectiveness and Network Performance

Model-Based Design of Defense Cyber-Physical Systems to Analyze Mission Effectiveness and Network Performance

Hybrid Model-Based Simulation Analysis on the Effects of Social Distancing Policy of the COVID-19 Epidemic

Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

Contact Info

Product

Resources

About