Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare
Simulation of a system-of-systems (SoS) model, which consists of a combat model and a network model, has been used to analyze the performance of network-centric warfare in detail. However, finding the combat model parameters satisfying the required combat power using simulation can take a long time...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/4521672 |
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| _version_ | 1832549399373283328 |
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| author | Bong Gu Kang Seon Han Choi Se Jung Kwon Jun Hee Lee Tag Gon Kim |
| author_facet | Bong Gu Kang Seon Han Choi Se Jung Kwon Jun Hee Lee Tag Gon Kim |
| author_sort | Bong Gu Kang |
| collection | DOAJ |
| description | Simulation of a system-of-systems (SoS) model, which consists of a combat model and a network model, has been used to analyze the performance of network-centric warfare in detail. However, finding the combat model parameters satisfying the required combat power using simulation can take a long time for two reasons: (1) the prolonged execution time per simulation run and (2) the enormous number of simulation runs. This paper proposes a simulation-based optimization method for the SoS-based simulation model to overcome these problems. The method consists of two processes: (1) the transformation of the SoS-based model into an integrated model using the neural network to reduce the execution time and (2) the optimization of the integrated model using the genetic algorithm with ranking and selection to decrease the number of simulation runs. The experimental result reveals that the proposed method significantly reduced the time for finding the optimal combat parameters with an acceptable level of accuracy. |
| format | Article |
| id | doaj-art-b5bc13b8d2d44e9e93789a920d5c29fc |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-b5bc13b8d2d44e9e93789a920d5c29fc2025-02-03T06:11:27ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/45216724521672Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric WarfareBong Gu Kang0Seon Han Choi1Se Jung Kwon2Jun Hee Lee3Tag Gon Kim4KT Institute of Convergence Technology, Seoul, Republic of KoreaKorea Institute of Industrial Technology (KITECH), Ansan, Republic of KoreaSamsung Electronics Co. Ltd., Seoul, Republic of KoreaSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of KoreaSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of KoreaSimulation of a system-of-systems (SoS) model, which consists of a combat model and a network model, has been used to analyze the performance of network-centric warfare in detail. However, finding the combat model parameters satisfying the required combat power using simulation can take a long time for two reasons: (1) the prolonged execution time per simulation run and (2) the enormous number of simulation runs. This paper proposes a simulation-based optimization method for the SoS-based simulation model to overcome these problems. The method consists of two processes: (1) the transformation of the SoS-based model into an integrated model using the neural network to reduce the execution time and (2) the optimization of the integrated model using the genetic algorithm with ranking and selection to decrease the number of simulation runs. The experimental result reveals that the proposed method significantly reduced the time for finding the optimal combat parameters with an acceptable level of accuracy.http://dx.doi.org/10.1155/2018/4521672 |
| spellingShingle | Bong Gu Kang Seon Han Choi Se Jung Kwon Jun Hee Lee Tag Gon Kim Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare Complexity |
| title | Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare |
| title_full | Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare |
| title_fullStr | Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare |
| title_full_unstemmed | Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare |
| title_short | Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare |
| title_sort | simulation based optimization on the system of systems model via model transformation and genetic algorithm a case study of network centric warfare |
| url | http://dx.doi.org/10.1155/2018/4521672 |
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