SUMMARYUniversity and other educational computer systems may have several thousands to several tens of thousands of users, and several hundreds to several thousands of terminals. When the scale of the system is enlarged, not only is the burden of management increased, but various problems are produced in the system configuration and administration due to the character of the educational system, in which many identical manipulations are performed at the same time. This study was performed in the educational computer system of the Osaka University Information Processing Education Center (now the Cybermedia Center). Through the design and development of a system to support smooth administration of the computer system and classroom activities in the center, the functions needed for support were organized and practical problems were identified, together with methods for their solution. The new system was operated at the Osaka University Information Processing Education Center and was found to contribute greatly to classroom and administration support.
Service restoration in distribution systems can be formulated as a combinatorial optimization problem, and it is very difficult to obtain a global optimal solution in practical applications. Numerous works have been reported for this problem. In these works, only a restricted part of network associated with the out-of-service area is reconfigured. Thus, spare capacity can not be transferred between adjacent feeders, and there may be a case where some de-energized load is not restored even if sufficient spare capacity exists. We propose a new genetic algorithm for service restoration problem on the basis of the coexistence of heterogeneous populations. In the proposed method, the whole network associated with all systems is taken into account, and reconfigured. Consequently, spare capacity can be restored as much as possible. We have also applied the proposed method to several service restoration problems corresponding to various faults in order to demonstrate the effectiveness of the proposed method.
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