求翻译：粒子群算法，也叫粒子群优化算法（PSO）。是进化算法的一种，类似于遗传算法。该算法通过模拟鸟类觅食的过程，完成问题的优化，该算法常常用于处理大规模数据，和函数的优化。而并行算法是利用多台计算机，联合求解问题的方法和步骤。在这篇论文中，我们利用MapReduce的开源实现Hadoop，将粒子群算法部署到Hdfs上，实现了粒子群算法的并行化。本文采用了标准测试函数Ackley函数，该函数是多元复杂函数，很难求得全局最优值。而通过粒子群算法，我们可以较精确的找到它的全局最优值。是什么意思？

Particle swarm optimization, also known as particle swarm optimization (PSO). Is an evolutionary algorithm, similar to the genetic algorithm. The algorithm through simulation of bird feeding process, the complete optimization problem, the algorithm is often used to handle large-scale data, and funct

Particle clustering algorithm, which is also called particle cluster optimization algorithm (PSO). It is the evolutionary algorithm, similar to a genetic algorithm. The algorithm using the analog Birds foraging in the finished process of optimization, the algorithms often deal with large amounts of