Baza Publikacji Pracowników Politechniki Lubelskiej

Status:
Autorzy:	Gola Arkadiusz, Kłosowski Grzegorz
Dyscypliny:
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Wersja dokumentu:	Drukowana \| Elektroniczna
Arkusze wydawnicze:	0,51
Język:	angielski
Strony:	29 - 36
Web of Science® Times Cited:	31
Scopus® Cytowania:	32
Bazy:	Web of Science \| Scopus
Efekt badań statutowych	NIE
Materiał konferencyjny:	NIE
Publikacja OA:	NIE
Abstrakty:	angielski
	The paper deals with the problem of works transport organization and control by artificial intelligence with respect to path routing for an automated guided vehicle (AGV). The presented approach is based on non-changeable path during travel along a given loop. The ordered set of stations requesting transport service was determined by fuzzy logic, while the sequence of stations in a loop was optimized by genetic algorithms. A solution for both AGV’s and semi-autonomous transport vehicles wherein the control system informs the driver about optimal route was presented. The obtained solution was verified by a computer simulation.

Application of fuzzy logic and genetic algorithms in automated works transport organization