摘要
借鉴于生物免疫系统强大的防御能力 ,本文提出了一种免疫克隆 (MCIAA)算法 .该算法能更好地在群体的收敛性和个体的多样性之间保持动态平衡 ,有效地克服了局部收敛和早期收敛问题 .将该算法应用于噪声信道矢量量化索引值分配寻优中 ,在存在信道噪声时 ,可较好地提高矢量量化器的性能 .模拟试验表明该算法比其他算法有更好的增益和收敛速度 .
Enlightened by the defence ability of immune system,a novel immune colon index assignment algorithm (MCIAA) is presented.The new algorithm has a good effort to adjust the dynamic balance between colony's convergence and individual's diversity,and effectively overcomes the problem of local optimal resolution.In this paper,we apply this algorithm to the vector quantization(VQ) index assignment on 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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第10期1734-1737,共4页
Acta Electronica Sinica
