摘要
在粒子进化的多粒子群算法基础上,提出了一种无线传感网络节点布局的优化策略.该策略通过多个粒子群彼此独立地搜索解空间,提高了算法的寻优能力,有效地避免了"早熟"问题,提高了算法的稳定性.仿真实验表明,与传统的粒子群算法相比,该算法有效覆盖率由75.36%提高到80.96%,收敛速度提高了19.4%.因此粒子进化的多粒子群优化策略具有比传统的粒子群算法更好的优化效果.
It presents a strategy to achieve the optimization of layout node based on the evolution of multi-particle particle swarm optimization （PSO）. The strategy adopted by the humor of particles with each other independent groups to search for solutions space, to improve optimization of the algorithm ability to effectively avoid the ＂premature＂ to improve the stability of the algorithm. The simulation showed that the traditional PSO, the algorithm effective coverage by 75.36 percent to 80.96 percent, Convergence rate increased 19.4 percent. Therefore, the evolution of multi-particle PSO strategy than the traditional PSO has a better optimization results.
出处
《微电子学与计算机》
CSCD
北大核心
2009年第12期16-18,22,共4页
Microelectronics & Computer
基金
浙江省教育厅项目(Y200805812)
