改进的粒子群优化算法,便于硬件实现

M. Rajewski, Z. Dlugosz, R. Dlugosz, T. Talaśka
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引用次数: 1

摘要

本文介绍了粒子群算法的各种改进和发展。粒子群优化算法是一种基于群体行为的算法。在这项工作中,我们主要关注通过替换随机数生成器来简化算法,这在硬件中实现算法时可能是一个问题。我们研究了将算法更新的方法从随机方法更改为更确定的方法如何影响结果。本文展示了在算法优化过程中使用简单数学运算的简化算法是否有可能达到与随机相同或更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Particle Swarm Optimization Algorithm Facilitating Its Hardware Implementation
This paper presents various modifications and developments in the PSO algorithm. PSO is an algorithm based on the behavior of swarms. In this work we focus mainly on simplifying the algorithm by replacing random number generators, which can be a problem when implementing algorithms in hardware. We investigate how changing the methods for algorithm updates from random to more deterministic approach influences the results. This paper shows whether it is possible to achieve same as random or better results using a simplified algorithm, which uses simple mathematical operations in the algorithm optimization process.
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