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This study proposes a new antenna selection (AS) method using the real-valued genetic algorithm (RVGA) to improve the channel capacity of multiple-input/multiple-output (MIMO) systems. By defining a score function based on channel capacity, AS can be formulated as an optimization problem over a multidimensional real space, and solved by implementing the RVGA method. The simulation results show that the performance of the proposed RVGA AS provides approximately the same achievable rates as the optimal exhaustive search (ES) AS, while maintaining a moderate computational load.