In this paper a new
The study compares the proposed approach with other two similar approaches the Cuckoo Search algorithm (CSA) and Particle Swarm Optimization algorithm (PSO). The efficiency of the algorithms is evaluated in terms of PSNR,STD, SSIM, FSIM and DAPTinhibitor values. Such comparisons provide evidence of the accuracy, convergence and robustness of the proposed approach. The fitness of TSEMO is compared with the CSA and PSO where is possible to see that both EMO and CSA need a reduced number of iterations to converge.