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Energy efficiency and sustainable development have been the focus of the world's attention. In order to promote the execution of energy reduction, energy control systems, which could operate the electrical appliances, are under research at present. Before putting the energy control systems into real buildings, comfort assessment and energy consumption analysis need to be conducted but such operations...
Elevator Group Supervisory Control System (EGSCS) is a traffic system, which provides the transportation services for passengers in modern buildings. As the elevator systems include uncertainty due to the future arrival of the passengers, it difficult to model, analyze, and optimize the elevator group supervisory control system. Recently, artificial intelligence technology has been used in such complex...
In wireless sensor networks, clustering algorithm prolongs works' lifetime drastically. In a cluster, because the distances are different between member nodes and head node, the energy consumption of member nodes will become unbalanced when they transmit message to the head node directly. The EBCA (energy balanced consumption algorithm) is proposed for the problem. In EBCA, member nodes are divided...
Elevator group supervisory control system (EGSCS) is a traffic system, where its controller manages the elevator movement to transport passengers in buildings efficiently. Recently, artificial intelligence (AI) technology has been used in such complex systems. Genetic network programming (GNP), a graph-based evolutionary method extended from GA and GP, has been already applied to EGSCS. On the other...
Elevator group supervisory control system (EGSCS) is designed for managing the elevator movement to transport passengers in buildings efficiently. So far, genetic network programming which is a kind of evolutionary computation with a graph structure has been applied to such complex systems like EGSCS. On the other hand, in order to reduce the energy consumption in EGSCS, some studies have been done...
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