… in wireless networks. In this paper, we provide a comprehensive survey of the applications of
GAs in wireless networks. … survey of GA techniques in wireless networks. We also point out …

… The distribution is usually used for detailed study on and simulation of wireless networks. …
the present study uses genetic algorithm for optimization and customization of the networks [7]. …

… to their network size, we compare different size neural network … We compare our genetic
algorithm based neural network … the two genetic algorithm based neural networks used in our …

… : Genetic Algorithm. This paper reviewedthe use of Genetic Algorithms (GAs) to solve
certain limitation of wireless sensor networNs. It further presents major application areas of …

… genetic algorithm and the weighted sum optimization method, which we called MOONGA
(multi-objective wireless network optimization using the genetic algorithm)… the network designer …

… Introduction The proliferation of wireless communication networks, particularly low cost … in
network optimization [I]. Specifically, the low cost emphasis in many modem wireless networks …

… A genetic algorithm (GA) is used to create energy efficient clusters for data dissemination in
wireless sensor networks… the network lifetime for different network deployment environments. …

… life cycle of the network. By comparing these three kinds of genetic algorithms, the quantum
genetic algorithm is much better than the other two genetic algorithms in optimizing the …

In this paper, we study WSN design, as a multi-objective optimization problem using GA
technique. We study the effects of GA parameters including population size, selection and …

… cluster heads using a genetic algorithm. Where using an optimization algorithm, keeping in
… The genetic algorithm operated well and directed the process towards improving the genes …