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Preliminary Study on the Particle Swarm Optimization with the Particle Performance Evaluation

机译:粒子群优化与粒子绩效评价的初步研究

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In this paper, the novel concept of particle performance evaluation within the particle swarm optimization algorithm (PSO) is introduced. In this method the contribution of each particle to the process of obtaining the global best solution is investigated periodically. For the particle with no contribution to the global best solution over a given number of iterations the velocity calculation is changed; in the case of this presented research, in order to improve its performance towards the global trend.
机译:本文介绍了粒子群优化算法(PSO)内粒子性能评估的新颖概念。 在该方法中,定期研究每个颗粒对获得全球最佳解决方案的过程的贡献。 对于对给定数量的迭代没有对全球最佳解决方案没有贡献的粒子,速度计算变化; 在本提出的研究的情况下,为了提高其对全球趋势的表现。

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