네트워크 성능관리를 위한 퍼지 지식베이스 자동생성 알고리즘

This paper focuses on self-organization of fuzzy rules for performance management of computer communication networks serving manufacturing systems. The performance management aims to improve the network performance in handling various types of messages by on-line adjustment of protocol parameters. The principle of fuzzy logic has been used in representing the knowledge of human expert on the performance management and in deriving management decisions. In this paper, we present applications of genetic algorithm, simulated annealing, and evolution strategies to find a better set of rules for various network conditions. The efficacy of this self-organization is demonstrated by discrete simulation of an IEEE 802.4 network.