仿真机器人目标区域人工鱼群优化算法

2010 2nd International Conference on Signal Processing Systems Pub Date : 2010-07-05 DOI:10.1109/ICSPS.2010.5555710

Xinhuan Feng, Jun Yin, Meng Xu, Xiao Zhao, Bian Wu

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引用次数: 3

摘要

本文采用了一种改进的人工鱼算法，并在仿真平台上对边界的设置进行了优化，特别是在机器人的选择方式方面，采用了多阈值来减少机器人在博弈过程中的不可控动作。这种方法为我们提供了一种可接受的解决方法。

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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The algorithm optimization on artificial fish-swarm for the target area on simulation robots

In this paper, we use an improved algorithm of artificial fish, and did the optimization in setting the border in the simulation platform, especially in the field of choosing ways of the robots, we use the Multi-threshold to reduce the uncontrollable actions when robots are in the game. And this method gives us an acceptable way to solve the issue.

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2010 2nd International Conference on Signal Processing Systems

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