Fuzzy dynamic path planning using genetic algorithms
- 17 February 2000
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 36 (4) , 374-376
- https://doi.org/10.1049/el:20000314
Abstract
Fuzzy control concepts are useful in both 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 search and optimisation tool. The approach yields better planned paths compared to those obtained from random decision tables generated using rules of thumb.Keywords
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