To solve the problem of distributed tasks-platforms scheduling in holonic command and control(C2) organization,the basic elements of the organization are analyzed firstly and the formal description of organizational e...To solve the problem of distributed tasks-platforms scheduling in holonic command and control(C2) organization,the basic elements of the organization are analyzed firstly and the formal description of organizational elements and structure is provided. Based on the improvement of task execution quality,a single task resource scheduling model is established and the solving method based on the m-best algorithm is proposed. For the problem of tactical decision-holon cannot handle tasks with low priority effectively, a distributed resource scheduling collaboration mechanism based on platform pricing and a platform exchange mechanism based on resource capacities are designed. Finally,a series of experiments are designed to prove the effectiveness of these methods. The results show that the proposed distributed scheduling methods can realize the effective balance of platform resources.展开更多
The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complic...The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complicated, neither unified task decomposition and allocation methodology nor Agent-based network management platform can satisfy the increasing demands. In this paper, to meet requirements of PCD for distributed product development, a collaborative design mechanism based on the thought of modularity and the Agent technology is presented. First, the top-down 4-tier process model based on task-oriented modular and Agent is constructed for PCD after analyzing the mapping relationships between requirements and functions in the collaborative design. Second, on basis of sub-task decomposition for PCD based on a mixed method, the mathematic model of task-oriented modular based on multi-objective optimization is established to maximize the module cohesion degree and minimize the module coupling degree, while considering the module executable degree as a restriction. The mathematic model is optimized and simulated by the modified PSO, and the decomposed modules are obtained. Finally, the Agent structure model for collaborative design is put forward, and the optimism matching Agents are selected by using similarity algorithm to implement different task-modules by the integrated reasoning and decision-making mechanism with the behavioral model of collaborative design Agents. With the results of experimental studies for automobile collaborative design, the feasibility and efficiency of this methodology of task-oriented modular and Agent-based collaborative design in the distributed heterogeneous environment are verified. On this basis, an integrative automobile collaborative R＆D platform is developed. This research provides an effective platform for automobile manufacturing enterprises to achieve PCD, and helps to promote product numeralization collaborative R＆D and management development.展开更多
无人异构集群相较于单一类型、单一个体的无人平台,能够完成更为复杂的任务,同时对严苛战场环境有着更高的适应度.在无人异构集群协同执行任务时,任务分配是至关重要的环节,需要考虑异构无人平台和任务的多种约束和目标.传统的任务分配...无人异构集群相较于单一类型、单一个体的无人平台,能够完成更为复杂的任务,同时对严苛战场环境有着更高的适应度.在无人异构集群协同执行任务时,任务分配是至关重要的环节,需要考虑异构无人平台和任务的多种约束和目标.传统的任务分配方法分配效率低且难以处理大规模复杂任务.联盟博弈通过形成由若干参与者组成的联盟,根据个体的属性、偏好对群体进行划分,从而实现个体以及群体利益的最大化.本文以无人异构集群任务分配为背景,研究了基于改进联盟博弈算法的最优分配策略,基于可能的战场环境设计了模拟任务场景并完成实验验证.首先,考虑异构平台在任务中的初始位置、速度、携带资源以及个体声誉等因素,建立了基于空间自适应博弈(Spatial adaptive play algorithm, SAP)的联盟博弈的任务分配算法模型.其次,基于任务场景,搭建了任务所需的软件与硬件平台.最后,针对模拟的战场环境,对所提算法及搭建的异构无人集群平台进行了实验验证.验证结果表明,在异构无人集群平台重分配的任务背景下,本平台能综合考虑战场态势,寻找最优的任务分配方式,协调各作战单位完成任务目标.展开更多
基金supported by the National Natural Science Foundation of China(6157301761703425)+2 种基金the Aeronautical Science Fund(20175796014)Shaanxi Province Natural Science Foundation(2016JQ60622017JM6062)
文摘To solve the problem of distributed tasks-platforms scheduling in holonic command and control(C2) organization,the basic elements of the organization are analyzed firstly and the formal description of organizational elements and structure is provided. Based on the improvement of task execution quality,a single task resource scheduling model is established and the solving method based on the m-best algorithm is proposed. For the problem of tactical decision-holon cannot handle tasks with low priority effectively, a distributed resource scheduling collaboration mechanism based on platform pricing and a platform exchange mechanism based on resource capacities are designed. Finally,a series of experiments are designed to prove the effectiveness of these methods. The results show that the proposed distributed scheduling methods can realize the effective balance of platform resources.
基金Supported by National Science and Technology Major Project of China(Grant No.2009ZX04014-103)PhD Programs Foundation of Ministry of Education of China(Grant No.20100072110038)+1 种基金National Natural Science Foundation of China(Grant Nos.61075064,61034004,61005090)Program for New Century Excellent Talents in University of Ministry of Education of China(Grant No.NECT-10-0633)
文摘The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complicated, neither unified task decomposition and allocation methodology nor Agent-based network management platform can satisfy the increasing demands. In this paper, to meet requirements of PCD for distributed product development, a collaborative design mechanism based on the thought of modularity and the Agent technology is presented. First, the top-down 4-tier process model based on task-oriented modular and Agent is constructed for PCD after analyzing the mapping relationships between requirements and functions in the collaborative design. Second, on basis of sub-task decomposition for PCD based on a mixed method, the mathematic model of task-oriented modular based on multi-objective optimization is established to maximize the module cohesion degree and minimize the module coupling degree, while considering the module executable degree as a restriction. The mathematic model is optimized and simulated by the modified PSO, and the decomposed modules are obtained. Finally, the Agent structure model for collaborative design is put forward, and the optimism matching Agents are selected by using similarity algorithm to implement different task-modules by the integrated reasoning and decision-making mechanism with the behavioral model of collaborative design Agents. With the results of experimental studies for automobile collaborative design, the feasibility and efficiency of this methodology of task-oriented modular and Agent-based collaborative design in the distributed heterogeneous environment are verified. On this basis, an integrative automobile collaborative R＆D platform is developed. This research provides an effective platform for automobile manufacturing enterprises to achieve PCD, and helps to promote product numeralization collaborative R＆D and management development.
文摘无人异构集群相较于单一类型、单一个体的无人平台,能够完成更为复杂的任务,同时对严苛战场环境有着更高的适应度.在无人异构集群协同执行任务时,任务分配是至关重要的环节,需要考虑异构无人平台和任务的多种约束和目标.传统的任务分配方法分配效率低且难以处理大规模复杂任务.联盟博弈通过形成由若干参与者组成的联盟,根据个体的属性、偏好对群体进行划分,从而实现个体以及群体利益的最大化.本文以无人异构集群任务分配为背景,研究了基于改进联盟博弈算法的最优分配策略,基于可能的战场环境设计了模拟任务场景并完成实验验证.首先,考虑异构平台在任务中的初始位置、速度、携带资源以及个体声誉等因素,建立了基于空间自适应博弈(Spatial adaptive play algorithm, SAP)的联盟博弈的任务分配算法模型.其次,基于任务场景,搭建了任务所需的软件与硬件平台.最后,针对模拟的战场环境,对所提算法及搭建的异构无人集群平台进行了实验验证.验证结果表明,在异构无人集群平台重分配的任务背景下,本平台能综合考虑战场态势,寻找最优的任务分配方式,协调各作战单位完成任务目标.
