A biased random-key genetic algorithm for wireless backhaul network design
We propose a novel network design problem for wireless backhaul networks. Its objective function is computed using the value of the maximum flow and network costs. We propose a BRKGA and a mixed integer linear programming model (MIP) to solve it. We assess the great performance of BRKGA over 30 large real-world instances.
genetic algorithm wireless backhaul network design small cells mixed integer programming model