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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Adaptive Harmony Pso Based Trusted Qos Routing Scheme, Xinxin Sun, Xingwei Wang, Huang Min
Adaptive Harmony Pso Based Trusted Qos Routing Scheme, Xinxin Sun, Xingwei Wang, Huang Min
Journal of System Simulation
Abstract: With the continuous expansion of the network scale and the growing number of new applications, the Internet is faced with the challenges of security, dynamicity, heterogeneity and other problems. The emergence of new businesses brings higher demands on network quality of service (QoS) than before. At the same time, a huge amount of network security problems lead to people not being trusted on network. The trustworthiness of the networks and the QoS routing were investigated. A trusted QoS routing scheme based on adaptive harmony PSO search algorithm was proposed with QoS satisfaction degree and trustworthiness value satisfaction degree considered …
Quality Of Service Routing Strategy Using Supervised Genetic Algorithm, Zhaoxia Wang, Yugeng Sun, Zhiyong Wang, Huayu Shen
Quality Of Service Routing Strategy Using Supervised Genetic Algorithm, Zhaoxia Wang, Yugeng Sun, Zhiyong Wang, Huayu Shen
Research Collection School Of Computing and Information Systems
A supervised genetic algorithm (SGA) is proposed to solve the quality of service (QoS) routing problems in computer networks. The supervised rules of intelligent concept are introduced into genetic algorithms (GAs) to solve the constraint optimization problem. One of the main characteristics of SGA is its searching space can be limited in feasible regions rather than infeasible regions. The superiority of SGA to other GAs lies in that some supervised search rules in which the information comes from the problems are incorporated into SGA. The simulation results show that SGA improves the ability of searching an optimum solution and accelerates …
Qos Routing Optimization Strategy Using Genetic Algorithm In Optical Fiber Communication Networks, Zhaoxia Wang, Zengqiang Chen, Zhuzhi Yuan
Qos Routing Optimization Strategy Using Genetic Algorithm In Optical Fiber Communication Networks, Zhaoxia Wang, Zengqiang Chen, Zhuzhi Yuan
Research Collection School Of Computing and Information Systems
This paper describes the routing problems in optical fiber networks, defines five constraints, induces and simplifies the evaluation function and fitness function, and proposes a routing approach based on the genetic algorithm, which includes an operator [OMO] to solve the QoS routing problem in optical fiber communication networks. The simulation results show that the proposed routing method by using this optimal maintain operator genetic algorithm (OMOGA) is superior to the common genetic algorithms (CGA). It not only is robust and efficient but also converges quickly and can be carried out simply, that makes it better than other complicated GA.