Multi-robot hunting strategy based on FIS and artificial immune algorithm

被引：0
作者：
Duan Y. [1 ]
Huang X. [1 ]
机构：
[1] Shenyang University of Technology, Shenyang
来源：
High Technology Letters | 2019年 / 25卷 / 01期
关键词：
Artificial immunity; Fuzzy inference system (FIS); Fuzzy rule database; Multi-robot hunting;
D O I：
10.3772/j.issn.1006-6748.2019.01.008
中图分类号：
学科分类号：
摘要：
A combination strategy of multi robot hunting in dynamic environment based on a fuzzy inference system (FIS) and artificial immune algorithm is proposed. By analyzing relative relation of hunters and escaper, abstract data is gathered to describe the relative location and relative motion state of the robots, which in turn forms the beginning stage of the fuzzy rule. The artificial immune algorithm optimizes and generates the rule data base and adaptive design considers factors in measuring the hunting efficiency. The optimized rules are applied to the hunting task and the results show that the algorithm can effectively actualize hunting of multiple mobile robots. Copyright © by HIGH TECHNOLOGY LETTERS PRESS.
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页码：57 / 64
页数：7
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