Access Network Selection Based on Fuzzy Logic and Genetic Algorithms

Access Network Selection Based on Fuzzy Logic and Genetic Algorithms

In the next generation of heterogeneous wireless networks (HWNs), a large number of different radio access technologies (RATs) will be integrated into a common network. In this type of networks, selecting the most optimal and promising access network (AN) is an important consideration for overall networks stability, resource utilization, user satisfaction, and quality of service (QoS) provision...

Genetic Algorithms and Fuzzy Logic in ControlProcesses

Cluster Head Selection Using Fuzzy Logic and Chaotic Based Genetic Algorithm in Wireless Sensor Network

Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit information from its surrounding environment. The sensor nodes have limited computation capability, limited power and small memory size. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As energy is a challenging issue in these networ...

Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis

A way to enhance the performance of a model that combines genetic algorithms and fuzzy logic for feature selection and classification is proposed. Early diagnosis of any disease with less cost is preferable. Diabetes is one such disease. Diabetes has become the fourth leading cause of death in developed countries and there is substantial evidence that it is reaching epidemic proportions in many...

On the Bidirectional Integration of Genetic Algorithms and Fuzzy Logic

| The purpose of this contribution is to deal with the integration of the genetic algorithms and the fuzzy logic. We analyze the application of one area in the other, some results, and some open questions on the bidirectional connection .