This paper considers the wireless access (WASW) switch planning problem of wireless/mobile ATM networks and suggests a genetic algorithm for solving it . We first introduce our Genetic Optimization Process. We also develop analytical models to determine the tracking and location costs for mobile switches. The fitness function is formed by these analytical models. Load balance and call-to-mobility ratio are also considered in our fitness function. Finally, we give an example scenario to demonstrate the functionality of our genetic algorithm.
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