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| Study on optimization of agent initial positions in land combat simulation | |
| 作者姓名： | WU Chunguo LIANG Yanchun LEE Heow Pueh LU Chun YANG Xiaowei |
| 作者单位： | College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China;Institute of High Performance Computing, Singapore 117528, Singapore,College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China;Institute of High Performance Computing, Singapore 117528, Singapore,Institute of High Performance Computing, Singapore 117528, Singapore,Institute of High Performance Computing, Singapore 117528, Singapore,Department of Applied Mathematics, South China University of Technology, Guangzhou 510640, China;Centre for ACES, Department of Mechanical Engineering, National University of Singapore, 119260, Singapore |
| 基金项目： | the Science-Technology Development Project of Jilin Province of China，教育部重点工程基金 |
| 摘 要： | The use of computational-intelligence-based techniques in the optimization of agent initial positions in land combat simulations is studied. A novel method for the reduction of support vectors in the support vector machine (SVM) is presented. The optimization on the width of the Gaussian kernel function and the combination of the SVM with the radial basis function neural network are performed in the proposed method. Simulation results show that the proposed method can improve the running efficiency drastically compared with that using the traditional SVM with the same precision. We also summarize and present some experiences and trends in the study on the optimization problem in land combat simulation. |
| 关 键 词： | multi-agent support vector machine radial basis function genetic algorithm regression |
Study on optimization of agent initial positions in land combat simulation |
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| WU Chunguo,LIANG Yanchun,LEE Heow Pueh,LU Chun,YANG Xiaowei.Study on optimization of agent initial positions in land combat simulation[J].Progress in Natural Science,2004,14(3):257-261. | |
| Authors: | WU Chunguo LIANG Yanchun LEE Heow Pueh LU Chun Yang Xiaowei |
| Institution: | 1. College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China;Institute of High Performance Computing, Singapore 117528, Singapore 2. Institute of High Performance Computing, Singapore 117528, Singapore 3. Department of Applied Mathematics, South China University of Technology, Guangzhou 510640, China;Centre for ACES, Department of Mechanical Engineering, National University of Singapore, 119260, Singapore |
| Abstract: | The use of computational-intelligence-based techniques in the optimization of agent initial positions in land combat simulations is studied. A novel method for the reduction of support vectors in the support vector machine (SVM) is presented. The optimization on the width of the Gaussian kernel function and the combination of the SVM with the radial basis function neural network are performed in the proposed method. Simulation results show that the proposed method can improve the running efficiency drastically compared with that using the traditional SVM with the same precision. We also summarize and present some experiences and trends in the study on the optimization problem in land combat simulation. |
| Keywords: | multi-agent support vector machine radial basis function genetic algorithm regression |
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