Fuzzy dynamic path planning using genetic algorithms

被引：42

作者：

Juidette, H ^{[1
]}

Youlal, H ^{[1
]}

机构：

[1] Fac Sci, Dept Phys, Rabat, Morocco

来源：

ELECTRONICS LETTERS | 2000年 / 36卷 / 04期

关键词：

Fuzzy control - Genetic algorithms - Inference engines - Motion control;

D O I：

10.1049/el:20000314

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Fuzzy control concepts are useful in bath global and local path planning tasks for autonomous mobile objects. The search for an optimal decision table to be used as the inference engine in fuzzy-based planning and navigation algorithms is highly important. The authors address the problem using genetic algorithms as a scarch and optimisation tool. The approach fields better planned paths compared to those obtained from random decision tables generated using rules of thumb.

引用

页码：374 / 376

页数：3