Generation of Optimal Coverage Paths for Mobile Robots Using Hybrid Genetic Algorithm

This paper presents new optimal offline approaches to solve the coverage path planning problem. A novel hybrid genetic algorithm (HGA), which uses, the turn-away starting point and backtracking spiral algorithms for performing local search, is proposed for grid-based environmental representations. T...

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Vydané v:	Journal of robotics and mechatronics Ročník 33; číslo 1; s. 11 - 23
Hlavní autori:	Schäfle, Tobias Rainer, Mitschke, Marcel, Uchiyama, Naoki
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Tokyo Fuji Technology Press Co. Ltd 20.02.2021
Predmet:	Energy value Fitness Genetic algorithms Path planning Travel time
ISSN:	0915-3942, 1883-8049
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