id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-5314	Guo, Zhenxing; Mo, Li	Robot path planning based on improved genetic algorithm	2023	4	.pdf	application/pdf	2112	129	55	To solve the problem of robot path planning, researchers have put forward a variety of methods, among which the intelligent optimization algorithm is more widely used, including genetic algorithm In genetic algorithm, the value of crossover probability and genetic probability can be between 0 and 1.	cache/fcis-5314.pdf	txt/fcis-5314.txt