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Development of search space establishment-less type high speed genetic algorithm considering mutation rate and using parallel computer
Author(s)
Takahiro, Ujiie
Mizutani, Yosibumi
Mizutani, Kenji
Leelajindakrairerk, Monthon
Date Issued
December 1, 2007
Type
Conference Paper
Abstract
This paper presents a new genetic algorithm "Search Space Establishment-less Type High Speed Genetic Algorithm Considering Mutation Rate and Using Parallel Computer: PMSSELGA" for optimization control problems. Through the PMSSELGA, all the search space 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.
Citation
2007 9th International Conference on Electrical Power Quality and Utilisation Epqu, 2007