DocumentCode :
1330080
Title :
Fuzzy dynamic path planning using genetic algorithms
Author :
Juidette, H. ; Youlal, H.
Author_Institution :
Dept. of Phys., Fac. of Sci., Rabat, Morocco
Volume :
36
Issue :
4
fYear :
2000
fDate :
2/17/2000 12:00:00 AM
Firstpage :
374
Lastpage :
376
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 :
fuzzy control; genetic algorithms; inference mechanisms; mobile robots; navigation; optimal control; path planning; autonomous mobile objects; fuzzy dynamic path planning; genetic algorithms; global path planning; inference engine; local path planning; navigation algorithms; optimal decision table; optimisation tool;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20000314
Filename :
840271
Link To Document :
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