| 基于粒子群优化算法的边坡安全系数估计 |
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| 引用本文： | 梁邦伟.基于粒子群优化算法的边坡安全系数估计[J].大众科技,2012(8):31-33. |
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| 作者姓名： | 梁邦伟 |
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| 作者单位： | 南宁市西乡塘区安宁街道办事处建设和经济贸易站,广西 南宁 530001 |
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| 摘 要： | 粒子群优化算法具有全局性能好、搜索效率高、容易实现等优点.文章在极大似然估计模型的基础上,采用粒子群优化算法,提出一种基于实例的边坡安全系数估计模型.工程实例研究表明,该模型精度明显优于传统极大似然估计模型和遗传算法优化模型,说明本文方法是科学可行性的.
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| 关 键 词： | 粒子群算法 边坡安全系数 极大似然估计 |
Slope safety coefficient estimation Based on the particle swarm optimization algorithm |
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| Abstract: | The particle swarm optimization algorithm has following merits such as good performance,high search efficiency and easy implement,etc.Based on the maximum likelihood estimation model,and used particle swarm optimization algorithm,slope safety coefficient estimate model based on the example was proposed.Engineering example study showed that the model was much better than traditional maximum likelihood estimation model and genetic algorithm optimization model,which indicated that this method was scientific feasibility. |
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| Keywords: | Particle swarm algorithm Slope safety coefficient The maximum likelihood estimation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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