An Index Assignment Algorithm over Noisy Channel

摘要

Enlightened by the defence ability of immune system, an immune colon algorithm (MCIAA) based on the genetic algorithm (GA) is presented. The new algorithm has a good effort to adjust the dynamic balance of colony's convergence and individual's diversity, effectively overcome the problem of traditional GA's local optimal resolution. In this paper, we apply this algorithm on the vector quantization (VQ) index assignment over noisy channel. Simulation result conforms that the algorithm yields a significant reduction in average distortion and converges in less short time compared to other algorithms.