Adaptive optimization is one of the means that agile organization of command and control resource （AOC2R） adapts for the dynamic battlefield environment. A math model of the adaptive optimization of AOC2R is put for...Adaptive optimization is one of the means that agile organization of command and control resource （AOC2R） adapts for the dynamic battlefield environment. A math model of the adaptive optimization of AOC2R is put forward by analyzing the interrelating concept and research. The model takes the adaptive process as a multi-stage decision making problem. The 2-phases method is presented to calculate the model, which obtains the related parameters by running the colored Petri net （CPN） model of AOC2R and then searches for the result by ant colony optimization （ACO） algorithm integrated with genetic optimization techniques. The simulation results demonstrate that the proposed algorithm greatly improves the performance of AOC2R.展开更多
The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approac...The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks（BNs） provide a framework in which a decision is made by combining the experts＇ knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets（CPNs）,and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.展开更多
学报简介:《指挥与控制学报》(Journal of Command and Control)是中国指挥与控制学会会刊,由北方自动控制技术研究所和中国指挥与控制学会共同主办,2015年创刊。现为中文核心期刊、CSCD核心期刊、中国科技核心期刊、RCCSE中国权威学术...学报简介:《指挥与控制学报》(Journal of Command and Control)是中国指挥与控制学会会刊,由北方自动控制技术研究所和中国指挥与控制学会共同主办,2015年创刊。现为中文核心期刊、CSCD核心期刊、中国科技核心期刊、RCCSE中国权威学术期刊(A+)等。展开更多
学报简介:《指挥与控制学报》(Journal of Command and Control)是中国指挥与控制学会会刊,由北方自动控制技术研究所和中国指挥与控制学会共同主办,2015年创刊。现为中文核心期刊、CSCD核心期刊、中国科技核心期刊、RCCSE中国权威学术...学报简介:《指挥与控制学报》(Journal of Command and Control)是中国指挥与控制学会会刊,由北方自动控制技术研究所和中国指挥与控制学会共同主办,2015年创刊。现为中文核心期刊、CSCD核心期刊、中国科技核心期刊、RCCSE中国权威学术期刊(A+)等。展开更多
文摘Adaptive optimization is one of the means that agile organization of command and control resource （AOC2R） adapts for the dynamic battlefield environment. A math model of the adaptive optimization of AOC2R is put forward by analyzing the interrelating concept and research. The model takes the adaptive process as a multi-stage decision making problem. The 2-phases method is presented to calculate the model, which obtains the related parameters by running the colored Petri net （CPN） model of AOC2R and then searches for the result by ant colony optimization （ACO） algorithm integrated with genetic optimization techniques. The simulation results demonstrate that the proposed algorithm greatly improves the performance of AOC2R.
基金supported by the National Natural Science Foundation of China (60874068)
文摘The command and control（C2） is a decision-making process based on human cognition,which contains operational,physical,and human characteristics,so it takes on uncertainty and complexity.As a decision support approach,Bayesian networks（BNs） provide a framework in which a decision is made by combining the experts＇ knowledge and the specific data.In addition,an expert system represented by human cognitive framework is adopted to express the real-time decision-making process of the decision maker.The combination of the Bayesian decision support and human cognitive framework in the C2 of a specific application field is modeled and executed by colored Petri nets（CPNs）,and the consequences of execution manifest such combination can perfectly present the decision-making process in C2.
