KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 2 of 2
  • Some of the metrics are blocked by your 
    Item type:Publication,
    Design of MPSS by search space logarithm type GA considering mutation rate
    (2007-09-25)
    Leelajindakrairerk, Monthon
    ;
    Mizutani, Kenji
    ;
    Mizutani, Yoshibumi
    ;
    Okabe, Takatugu
    ;
    Hatano, Shoichi
    This paper presents a new genetic algorithm "Search Space Logarithm Type Genetic Algorithm Considering Mutation Rate: MSSLGA" for optimization control problems of the Multi-input Power System Stabilizer (MPSS) design. Through the MSSLGA, in general, all the search space of tuning parameters for MPSS can be presumed in the range of 0.01 - 100.0. First, this paper proposes developing it into the logarithm to cover the large scale disadvantage. Second, it is presented that mutation rates are decreased together gradually with the generation from the big value. The MSSLGA is possible to obtain the higher-fitness answer easily than the conventional Genetic Algorithm using a constant mutation rate. It is applied to the optimum design of MPSS using Series Compensation Method in power system, which contains low-frequency oscillations, and the efficiency through the MSSLGA is superior to conventional one.
  • Some of the metrics are blocked by your 
    Item type:Publication,
    Development of Search-less Space Type Genetic Algorithm
    (2004-12-01)
    Leelajindakrairerk, Monthon
    ;
    Mizutani, Yoshibumi
    ;
    Aoki, Hidenori
    ;
    Mizutani, Kenji
    ;
    Okabe, Takatsugu
    This paper presents a new algorithm "Search-less Space Type Genetic Algorithm: SLS-GA" for optimization control problems. Through the SLS-GA, the initial search space is decided automatically and when necessity arises in the mutation, the search space is recruited. The SLS-GA is possible to obtain the higher-fitness answer easily than the conventional GA of all the search spaces. It is applied to the optimum design of the proposed fuzzy control type power system stabilizer (PSS) in power system, which contains low-frequency oscillations, and the efficiency through the SLS-GA is superior to conventional one. genetic algorithm, search-less GA. fuzzy control, power system stabilizer.