节点文献
引入病毒进化模型的新型模拟退火算法
A new simulated annealing algorithm with the model of virus evolution
【摘要】 改进了病毒进化遗传算法中的病毒进化模型,根据病毒生命力强弱动态调整其感染概率,并将改进后的病毒进化模型引入到模拟退火算法中,提出一种引入病毒进化模型的新型模拟退火算法,并用其解决图像编码矢量量化码书设计问题.实验表明,该算法收敛速度快,码书性能较好.
【Abstract】 In this paper,a new idea of dynamically adjusting infection probability based on the life strength of the virus was presented.A new simulated annealing algorithm with the model of virus evolution was proposed by introducing the improved model of virus evolution in VEGA(virus co-evolution genetic algorithm).The algorithm was applied to solve the problems of codebook design of vector quantization for image coding.The simulation results show that the algorithm has fast convergence rate and good performance for codebook design.
【关键词】 病毒进化;
模拟退火;
矢量量化;
图像编码;
【Key words】 virus evolution; simulated annealing; vector quantization; image coding;
【Key words】 virus evolution; simulated annealing; vector quantization; image coding;
- 【文献出处】 深圳大学学报 ,Shenzhen University Journal , 编辑部邮箱 ,2006年02期
- 【分类号】TP309.5
- 【被引频次】2
- 【下载频次】128