多重因素约束下的网格搜索对策问题研究
发布时间：2018-11-05 10:45
【摘要】：首次基于搜索成本及搜索资源等限制因素,构造局中人面向多重约束条件的可行策略集合,建立相应的搜索空间;在给定搜索点权值的基础上,考虑搜索成本与搜索成功概率等因素,构造相应的支付函数,建立多重因素约束下的网格搜索对策模型.为简化模型求解,将对策论问题转化为约束最优化问题,求解约束问题获得最优值,转化为模型的对策值,并给出双方最优混合策略.最后,给出军事想定实例,说明上述模型的实用性及方法的有效性.
[Abstract]:For the first time, based on the limited factors such as search cost and search resources, a set of feasible strategies for multiple constraints is constructed, and the corresponding search space is established. On the basis of the given search point weights, considering the factors such as search cost and search success probability, the corresponding payment function is constructed, and the grid search game model with multiple constraints is established. In order to simplify the solution of the model, the game theory problem is transformed into the constrained optimization problem, the optimal value is obtained by solving the constraint problem, and the game value of the model is transformed into the game value of the model. Finally, a military scenario example is given to illustrate the practicability of the above model and the validity of the method.
【作者单位】： 海军工程大学理学院;
【基金】：国家自然科学基金(71171198)
【分类号】：O225
本文编号：2311819
[Abstract]:For the first time, based on the limited factors such as search cost and search resources, a set of feasible strategies for multiple constraints is constructed, and the corresponding search space is established. On the basis of the given search point weights, considering the factors such as search cost and search success probability, the corresponding payment function is constructed, and the grid search game model with multiple constraints is established. In order to simplify the solution of the model, the game theory problem is transformed into the constrained optimization problem, the optimal value is obtained by solving the constraint problem, and the game value of the model is transformed into the game value of the model. Finally, a military scenario example is given to illustrate the practicability of the above model and the validity of the method.
【作者单位】： 海军工程大学理学院;
【基金】：国家自然科学基金(71171198)
【分类号】：O225
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相关硕士学位论文 前1条
1 康璇;解无导数优化问题的非单调过滤集网格搜索方法[D];南京师范大学;2014年
，本文编号：2311819
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