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The elevator technologies are developed to serve the requested passenger's floors with high consideration of passengers' satisfaction and elevator optimal performance. Responding to the issue, this paper focuses on development of an elevator group controller based on fuzzy algorithm. By introducing a fuzzy controller in an elevator system, this project is developed to manage the required passenger...
In this study, we present a sub-swarm based particle swarm optimization algorithm for niching (NSPSO). The NSPSO algorithm is capable of locating and maintaining a sufficient number of niches throughout the execution of the algorithm. The niches which are identified are then exploited by using a sub-swarm strategy which tries to refine the niche and converge to an optimum solution. NSPSO is capable...
The objective of the hArtes (holistic approach to reconfigurable real time embedded systems) is to provide a tool set that facilitates the management of entire design flow. Despite of its improved design productivity, the two bottleneck are: (1) capturing initial application specifications in the specified graphical tool and (2) Cycle accurate performance estimation in design space exploration. We...
The advantages of integrating reinforcement learning (RL) techniques into scientific parallel time-stepping applications have been revealed in research work over the past few years. The object of the integration was to automatically select the most appropriate dynamic loop scheduling (DLS) algorithm from a set of available algorithms with the purpose of improving the application performance via load...
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