Fig. 2
From: An ECSO-based approach for optimizing degree distribution of short-length LT codes
Convergence process of the three approaches for solving different instances. a instance K32. b instance K64. c instance K128. Compares the performance of three approaches in terms of aggressive nature, in which the blue curve stands for the PSO-G approach, the green curve stands for the CSO approach, and the red curve stands for the ECSO approach. The statistical data is achieved by 40 Monte Carlo runs and instances K32, K64, and K128 are chosen to test the flexibility of the proposed approach. It can be obviously observed that both the convergence rate and optimization precision of ECSO are better than those of PSO-G and CSO