Simultaneous perturbation stochastic algorithm parameters effect towards multi agent robot broadcast controller

N. Sariff, Z. Ismail
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引用次数: 2

Abstract

This paper investigates the effect of Simultaneous Perturbation Stochastic Algorithm towards multi agent motion coordination performances. Parameters of a, A, a, c and y were applied based on the guidelines given and based on the optimal value found from investigation. Each parameter will be varied and the results will be observed to determine the optimal parameters for this case study. The results show that with optimal parameters of ak and ck gain of SPSA which are a=0.21, A=30, a=0.602, c=1, y=0.101 and with a quadratic loss function, the optimal result was proven achieved. The results of convergence time, percentage of agent movement and the number of iteration were recorded to verify that the agent capable to reach its desired target successfully. The reading shows that in average, the agent will reach its target in 14.53 sec with 138 number of iterations in a 5 times run.
同步摄动随机算法参数对多智能体机器人广播控制器的影响
研究了同步摄动随机算法对多智能体运动协调性能的影响。a、a、a、c和y的参数是根据给定的准则和根据调查得出的最优值来应用的。每个参数都将变化,并且将观察结果,以确定本案例研究的最佳参数。结果表明,SPSA的ak和ck增益的最优参数为a=0.21, a= 30, a=0.602, c=1, y=0.101,并采用二次损失函数,得到了最优结果。记录了收敛时间、智能体移动百分比和迭代次数的结果,以验证智能体能够成功到达预期目标。读数显示,平均而言,代理将在14.53秒内达到目标,在5次运行中进行138次迭代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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