经过与基本粒子群算法比较测试，证实它是一种简单有效的算法。
The new algorithms are tested and compared with the standard PSO. It is proved that a new method is a simple and effective algorithm.
算例证实了算法的有效性，通过和基本粒子群算法比较显示其优越性。
Study cases showed the validity of the algorithm. The compare with basic particle swarm algorithm showed its superiority.
为了解决基本粒子群算法不易跳出局部最优的问题，提出了一种协同粒子群优化算法。
To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.
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