id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wmp5caxjbrdcvfjdjjpiasghwa	Fei Lin	Urban public bicycle dispatching optimization method	2019	30	.pdf	application/pdf	8741	1085	63	obtained by the algorithm, the workload indicators (scheduled distance, number Keywords Multi-objective optimization, Public bicycle system, Community discovery algorithm, The division of the public bicycle dispatching area involves operational research, scheduling area division scheme based on the improved K-means clustering algorithm. This part establishes the division model of public bicycle scheduling area, including of regional scheduling workloads, community discovery algorithms and multi-objective After the Fast Unfolding algorithm for the New York public bicycle rental site in this on multi-objective optimization solves the division model of the public bicycle scheduling Figure 8 Results of region partition based on multi-objective optimization algorithm in the New York Figure 11 Distance difference of bicycle scheduling area under three algorithms in the New York Figure 15 Results of region partition based on multi-objective optimization algorithm in the Chicago Figure 18 Distance difference of bicycle scheduling area under three algorithms in the Chicago	./cache/work_wmp5caxjbrdcvfjdjjpiasghwa.pdf	./txt/work_wmp5caxjbrdcvfjdjjpiasghwa.txt