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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 control systems are the transportation systems for handling passengers in the buildings. With the increasing demand for high-rise buildings, multi-car elevator system (MCES) where two cars operate separately and independently in an elevator shaft are attracting attention as the next novel elevator system. Genetic network programming (GNP), one of the evolutionary computations, can realize...
In this paper, an improved approach is proposed based on an updating strategy using Genetic Network Programming (GNP) for the controller of Double-Deck Elevator System (DDES). Since the elevator controller has to deal with constant changes of its environment, our approach is proposed to deal with better the environment changes, resulting in a reduction of the waiting time and increasing the transportation...
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...
Genetic network programming (GNP), one of the extended evolutionary algorithms was proposed, whose gene is constructed by the directed graph. GNP can perform a global searching, but it lacks of the exploitation ability. Since the behavior of GNP is characterized by the balance between exploitation and exploration in the search space, we proposed a hybrid algorithm in this paper that combines GNP with...
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