유전자 알고리즘을 이용한 퍼지네트워크 성능관리기의 지식베이스 생성

Formulation of Knowledge Base for Fuzzy Network Performance Manager with Genetic Algorithm

This paper focuses on automated generation of the knowledge base for a fuzzy network performance manager in order to satisfy delay constraints imposed on time-critical messages while maintaining as much network capacity as possible for non-time-critical messages. Therefore, the bowlegs base is formulated to minimize a certain penalty function by using a type of genetic algorithm. The efficacy of the formulation method has been demonstrated by a series of simulation experiments.