In order to get a globally optimized solution for the Elevator Group Control System (EGCS) scheduling problem, an algorithm with an overall optimization function is needed. In this study, Real-time Particle Swarm Opti...In order to get a globally optimized solution for the Elevator Group Control System (EGCS) scheduling problem, an algorithm with an overall optimization function is needed. In this study, Real-time Particle Swarm Optimization (RPSO) is proposed to find an optimal solution to the EGCS scheduling problem. Different traffic patterns and controller mechanisms for EGCS are analyzed. This study focuses on up-peak traffic because of its critical importance to modern office buildings. Simulation results show that EGCS based on Multi-Agent Systems (MAS) using RPSO gives good results for up-peak EGCS scheduling problem. Besides, the elevator real-time scheduling and reallocation functions are realized based on RPSO in case new information is available or the elevator becomes busy because it is unavailable or full. This study contributes a new scheduling algorithm for EGCS, and expands the application of PSO.展开更多
In this paper, we first introduce the high efficient pattern matching algorithm named Rete. Second, we analyze the problem appeared in using Rete algorithm to develop expert system. But it develops a new way to realiz...In this paper, we first introduce the high efficient pattern matching algorithm named Rete. Second, we analyze the problem appeared in using Rete algorithm to develop expert system. But it develops a new way to realize Agents' real-time and cooperative reference. Then we put forward to embed the Rete algorithm into Agents and realize cooperative inference by Agents' communication. On these bases, we discuss the accuracy and real-time feature of cooperative inference in detail. Finally, we describe two Agent-communication performatives and a developing instance of multi- agent system to monitor oil tanks.展开更多
文章依据递阶智能控制系统理论,将人工智能原理中的智能Agent技术运用于楼宇智能控制系统(IBAS,Intelligent Building Automation System)当中,论述了如何开发一个处于协调级的实时通信软件Agent,此Agent除完成实时通信的主要功能外,还...文章依据递阶智能控制系统理论,将人工智能原理中的智能Agent技术运用于楼宇智能控制系统(IBAS,Intelligent Building Automation System)当中,论述了如何开发一个处于协调级的实时通信软件Agent,此Agent除完成实时通信的主要功能外,还可完成故障诊断、缓冲控制、数据过滤等人性化功能。文中给出了已经开发完成的软件Agent的主要思路和相关代码,最后总结展望了研发此类软件的改进途径和方向。展开更多
文摘In order to get a globally optimized solution for the Elevator Group Control System (EGCS) scheduling problem, an algorithm with an overall optimization function is needed. In this study, Real-time Particle Swarm Optimization (RPSO) is proposed to find an optimal solution to the EGCS scheduling problem. Different traffic patterns and controller mechanisms for EGCS are analyzed. This study focuses on up-peak traffic because of its critical importance to modern office buildings. Simulation results show that EGCS based on Multi-Agent Systems (MAS) using RPSO gives good results for up-peak EGCS scheduling problem. Besides, the elevator real-time scheduling and reallocation functions are realized based on RPSO in case new information is available or the elevator becomes busy because it is unavailable or full. This study contributes a new scheduling algorithm for EGCS, and expands the application of PSO.
文摘In this paper, we first introduce the high efficient pattern matching algorithm named Rete. Second, we analyze the problem appeared in using Rete algorithm to develop expert system. But it develops a new way to realize Agents' real-time and cooperative reference. Then we put forward to embed the Rete algorithm into Agents and realize cooperative inference by Agents' communication. On these bases, we discuss the accuracy and real-time feature of cooperative inference in detail. Finally, we describe two Agent-communication performatives and a developing instance of multi- agent system to monitor oil tanks.
文摘文章依据递阶智能控制系统理论,将人工智能原理中的智能Agent技术运用于楼宇智能控制系统(IBAS,Intelligent Building Automation System)当中,论述了如何开发一个处于协调级的实时通信软件Agent,此Agent除完成实时通信的主要功能外,还可完成故障诊断、缓冲控制、数据过滤等人性化功能。文中给出了已经开发完成的软件Agent的主要思路和相关代码,最后总结展望了研发此类软件的改进途径和方向。
