Topology optimization of computer communication network based on improved genetic algorithm

• Published in: Journal of intelligent systems Vol. 31; no. 1; pp. 651 - 659
• Main Authors: Ai, Hua, Fan, Yuhong, Zhang, Jilei, Ghafoor, Kayhan Zrar
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 02.06.2022; Walter de Gruyter GmbH
• Subjects: Communications networks; Communications systems; computer communication network; Computer networks; Cost control; Design; Design optimization; Gene expression; genetic algorithm; Genetic algorithms; Network management systems; Network reliability; Nuclear power plants; Optimization; Population; Reliability analysis; Service centers; Simulation; System reliability; to optimize; Topology optimization; Work stations; Working conditions
• ISSN: 2191-026X; 0334-1860; 2191-026X
• DOI: 10.1515/jisys-2022-0050

The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the corresponding improved GA is proposed. In this method, the corresponding computer communication network cost model and computer communication network reliability model are established through a specific project, and the genetic intelligence algorithm is used to solve the cost model and computer communication network reliability model, respectively. It has been proved that GA can solve the complex problems of computer working environment better, which is 80% higher than the general algorithm, and can select the optimal scheme pertinently.