Particle swarm optimization (PSO) algorithm is a new intelligent one with simple principle which is easy to implement.

微粒群算法是一种新型的智能优化算法，有较强的发现最优解的能力，且算法简单，易于实现。

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Artificial bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm.

人工蜂群算法(abc)是一种基于蜜蜂行为的优化算法。

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This paper will give a scheme of intelligent test paper based on the estimation of distribution of discrete particle swarm algorithm.

本文提出了一种基于分布估计的离散粒子群优化算法。

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