Solving performance optimization problem of cognitive radio with multiobjective evolutionary algorithm
Xufa Wang · Computer Engineering and Applications Journal · 2007
The performance optimization of cognitive radio is a multiobjective optimization problem.It's difficult to assign the weight of each objective,and some optimal solutions will be omitted while using linear weight method to simply the multiobjective optimization problem into a single object optimization problem.We develop a new performance optimization algorithm called CREA based on a Multiobjective Evolutionary Algorithm.At first,CREA decides a group of fitness functions according to the changing of channel condition,and then runs the Multiobjective Evolutionary Algorithm to get a Pareto-optimal set.At last,CREA chooses a most satisfying solution from the Pareto-optimal set according to the users' service requirement and notifies the radio to update the transmit parameters.The results of simulation experiment testify the validity of CREA.