自然科学进展(英文版)
自然科學進展(英文版)
자연과학진전(영문판)
PROGRESS IN NATURAL SCIENCE
2003年
8期
620-625
,共6页
multi-agent system%RBF neural network%support vector machine%land combat simulation%genetic algorithm
The optimization of agents' initial properties enables agents to perform their assigned tasks more perfectly. This paper presents an optimizing method using the combination of radial basis function (RBF) neural network and genetic algorithm (GA). In the land combat simulation, the method can ensure that the agents optimized defeat the agents not optimized absolutely. Compared with the optimization based on support vector machines (SVM), the proposed method improves the efficiency more than twenty times, so it suits the cases where the speed as well as performance is required.
