The Particle Swarm Optimization Algorithm: How to Select the Number of Iteration

机译：粒子群优化算法：如何选择迭代次数

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The particle swarm optimization algorithm is an algorithm to find optimal regions of complex spaces through the interaction of individuals. The number of iterations required to meet a termination criterion is a critical dependent variable in the particle swarm optimization algorithm. In this paper, we analyze how to select the number of iteration. It can be seen as a guideline to the particle swarm optimization.

机译：粒子群优化算法是一种通过各个交互找到复杂空间的最佳区域的算法。满足终止标准所需的迭代次数是粒子群优化算法中的关键依赖变量。在本文中，我们分析了如何选择迭代次数。它可以被视为粒子群优化的指导。

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《International Conference on Intelligent Information Hiding and Multimedia Signal Processing》|2007年||共3页
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Bo Li; RenYue Xiao;
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中图分类 TP18-53;
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The Particle Swarm Optimization Algorithm: How to Select the Number of Iteration

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