Resource allocation and spectrum sensing are quite important part in cognitive radio networks. In his paper, joint energy sensing or radiometry, the common spectrum sensing algorithm in secondary radio, and distributed power control by beamforming approach in a secondary radio network have been investigated. Power control regulates the transmission power of the secondary users and radiometry indicates the spectrum vacancies. In this paper, we performed a spectrophotometric composition with evolutionary optimization in a cognitive network. We assume primary users are idle or active and therefore secondary users will transmit with maximum power and assigned power, respectively. As a result, we propose an improved performance to solve the constrained nonlinear multi-object optimization and coherent power assignment by beamforming problem based on Particle Swarm Optimization (PSO). A numerical study is performed to show the convergence behavior of the proposed algorithm and the efficiency of the proposed technique.