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首页> 外文期刊>Mathematical Computation >Analysis the Characteristic of C1, C2 based on the PSO of Iterative Shift and Trajectory of Particle
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Analysis the Characteristic of C1, C2 based on the PSO of Iterative Shift and Trajectory of Particle

机译：基于粒子的迭代移动和轨迹的粒子群优化算法分析C1，C2的特性

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摘要

First of all, the fundamental model and operation mechanism of Particle Swarm Optimization(PSO) have been illustrated in this paper; then the effect of the parameters on particle behavior and the evolution of the algorithm has been examined through the particle displacement with iterative, the path analysis and the parameter testing of function. Further, several identified phenomena and the necessities of random selection in PSO have been discussed including the update space of the solution constantly collapses, the particle’s "wandering" and "vibration", the evolution and biodiversity loss of particles. Ultimately, the causes of premature and the local convergence have been explored. Through the mentioned above, the operation mechanism of the model and the properties parameters have been well learnt.
机译：首先，阐述了粒子群优化算法的基本模型和运行机理。然后通过迭代的粒子位移，路径分析和功能参数测试，研究了参数对粒子行为和算法演化的影响。此外，还讨论了一些已发现的现象以及PSO中随机选择的必要性，包括解决方案的更新空间不断崩溃，粒子的“游荡”和“振动”，粒子的演化和生物多样性丧失。最终，探讨了过早的原因和局部趋同。通过上面提到的，已经很好地学习了模型的运行机制和属性参数。

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