This paper presents a new geneticalgorithm "searchspaceestablishment-lesstype High Speed geneticalgorithm Considering Mutation Rate and Using Parallel Computer: PMSSELGA" for optimization control proble...
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(纸本)9788469100578
This paper presents a new geneticalgorithm "searchspaceestablishment-lesstype High Speed geneticalgorithm Considering Mutation Rate and Using Parallel Computer: PMSSELGA" for optimization control problems. Through the PMSSELGA, all the searchspace of the tuning parameters for the control are set in the range of 1000.0-0.001. And, a mutation rate is gradually to decrease with the generation from 100 % to 15%. The PMSSELGA is speeded up by the parallel computation and the avoidance of repetitive calculations. It is applied to the optimum design of Multi-input power system stabilizer using Series Compensation Method in power system, which contains low-frequency oscillations, and the efficiency through the PMSSELGA is superior to conventional one.
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