DEVELOPMENT OF SEARCH-LESS SPACE TYPE GENETIC ALGORITHM

摘要

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.