In the case of on-line action role-playing game, the combat strategies can be divided into three distinct classes, Strategy of Motion(SM), Strategy of Attacking Occasion (SAO) and Strategy of Using Skill (SUS). In thi...In the case of on-line action role-playing game, the combat strategies can be divided into three distinct classes, Strategy of Motion(SM), Strategy of Attacking Occasion (SAO) and Strategy of Using Skill (SUS). In this paper, we analyze such strategies of a basic game model in which the combat is modeled by the discrete competitive Markov decision process. By introducing the chase model and the combat assistant technology, we identify the optimal SM and the optimal SAO, successfully. Also, we propose an evolutionary framework, including integration with competitive coevolution and cooperative coevolution, to search the optimal SUS pair which is regarded as the Nash equilibrium point of the strategy space. Moreover, some experiments are made to demonstrate that the proposed framework has the ability to find the optimal SUS pair. Furthermore, from the results, it is shown that using cooperative coevolutionary algorithm is much more efficient than using simple evolutionary algorithm.展开更多
面向碳中和战略目标,多能耦合协同驱动下综合能源系统(integrated energy system,IES)的低碳运行优化成为能源转型的关键路径。针对多能耦合协同运行框架,提出了一种考虑负荷需求响应的多时间尺度多维优化调度策略。首先,构建了燃气轮机...面向碳中和战略目标,多能耦合协同驱动下综合能源系统(integrated energy system,IES)的低碳运行优化成为能源转型的关键路径。针对多能耦合协同运行框架,提出了一种考虑负荷需求响应的多时间尺度多维优化调度策略。首先,构建了燃气轮机-碳捕集与存储-电转气(gas turbine-carbon capture and storage-power to gas,GT-CCS-P2G)多层次耦合架构,并基于此构建了考虑综合需求响应的电-气综合能源系统(integrated electricity-gas system,IEGS)。其次,将电网和气网分别构建为一个智能体,并将IEGS调度方案转化为一个马尔科夫博弈过程。最后,通过基于通信机制的多智能体柔性动作-评价(communication mechanism-enabled multi-agent soft actor-critic,CM-MASAC)方法获得了最终调度决策。通过多种算法对比分析,探讨所提算法的先进性及综合需求响应与GT-CCS-P2G相结合的有效性。实验结果表明,所提方法相较于对比方法,最大降低10.29%运行成本和16.07%碳排放量。展开更多
In this paper we study the impact of tiny mutation on the evolutionary dynamics on one-dimensional cycle with shifting mechanism. The evolutionary success is evaluated by investigating the stationary distribution of t...In this paper we study the impact of tiny mutation on the evolutionary dynamics on one-dimensional cycle with shifting mechanism. The evolutionary success is evaluated by investigating the stationary distribution of the ergodic process with the idea of viscosity solutions. The cooperative behaviors in ecosystem and social system are briefly discussed by applying the results to the prisoner＇s dilemma game.展开更多
文摘In the case of on-line action role-playing game, the combat strategies can be divided into three distinct classes, Strategy of Motion(SM), Strategy of Attacking Occasion (SAO) and Strategy of Using Skill (SUS). In this paper, we analyze such strategies of a basic game model in which the combat is modeled by the discrete competitive Markov decision process. By introducing the chase model and the combat assistant technology, we identify the optimal SM and the optimal SAO, successfully. Also, we propose an evolutionary framework, including integration with competitive coevolution and cooperative coevolution, to search the optimal SUS pair which is regarded as the Nash equilibrium point of the strategy space. Moreover, some experiments are made to demonstrate that the proposed framework has the ability to find the optimal SUS pair. Furthermore, from the results, it is shown that using cooperative coevolutionary algorithm is much more efficient than using simple evolutionary algorithm.
文摘面向碳中和战略目标,多能耦合协同驱动下综合能源系统(integrated energy system,IES)的低碳运行优化成为能源转型的关键路径。针对多能耦合协同运行框架,提出了一种考虑负荷需求响应的多时间尺度多维优化调度策略。首先,构建了燃气轮机-碳捕集与存储-电转气(gas turbine-carbon capture and storage-power to gas,GT-CCS-P2G)多层次耦合架构,并基于此构建了考虑综合需求响应的电-气综合能源系统(integrated electricity-gas system,IEGS)。其次,将电网和气网分别构建为一个智能体,并将IEGS调度方案转化为一个马尔科夫博弈过程。最后,通过基于通信机制的多智能体柔性动作-评价(communication mechanism-enabled multi-agent soft actor-critic,CM-MASAC)方法获得了最终调度决策。通过多种算法对比分析,探讨所提算法的先进性及综合需求响应与GT-CCS-P2G相结合的有效性。实验结果表明,所提方法相较于对比方法,最大降低10.29%运行成本和16.07%碳排放量。
基金Supported by National Natural Science Foundation of China(71231007,50909073)
文摘In this paper we study the impact of tiny mutation on the evolutionary dynamics on one-dimensional cycle with shifting mechanism. The evolutionary success is evaluated by investigating the stationary distribution of the ergodic process with the idea of viscosity solutions. The cooperative behaviors in ecosystem and social system are briefly discussed by applying the results to the prisoner＇s dilemma game.
