swarm m experiment 群集实验
The result of this experiment shows that this particle swarm algorithm is available and efficient in solving multi-c…
实验证明采用这种改进的粒子群算法解决多约束背包问题切实可行， 搜索效率较高。
The features and options of Standard test functions, The comparative experiment and the results analyzing of the improved standard particle swarm algorithm and particle swarm optimization ;
标准测试函数的特性与选择，改进粒子群算法与标准粒子群算法的比较实验与结果分析；
The experiment results show that particles swarm optimization is an effective method for parameter estimation of system model.
实验结果表明，该算法是一种有效的系统模型参数估计方法。
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