title: Comments on "Constraining the optimization of a fuzzy logic controller".
abstract: Genetic algorithms (GAs) are a highly effective and efficient means of solving optimization problems. Gene encoding, fitness landscape and genetic operations are vital to successfully developing a GA. F. Cheong and R. Lai (see ibid., vol. 30, p. 31-46 (2000)) described a novel method, which employed an enhanced genetic algorithm with multiple populations, to optimize a fuzzy controller, and the experimental results revealed that their method was effective in producing a well-formed fuzzy rule-base. However, their encoding method and fitness function appear unnatural and inefficient. This study proposes an alternative method of concise genetic encoding and fitness design.
authors.affiliation: Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu.
authors.forename: M D
authors.initials: MD
authors.lastname: Wu
authors.forename: C T
authors.initials: CT
authors.lastname: Sun