Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering

doi:10.1109/JAS.2023.123219

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	Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering
	Xiaoyao Zheng; Baoting Han; Zhen Ni
刊名	IEEE/CAA Journal of Automatica Sinica
	2023
卷号	10 期号:2 页码:486-500
关键词	Evolutionary algorithm multi-objective optimization Pareto optimization tourism route recommendation two-stage decomposition
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123219
英文摘要	Tourism route planning is widely applied in the smart tourism field. The Pareto-optimal front obtained by the traditional multi-objective evolutionary algorithm exhibits long tails, sharp peaks and disconnected regions problems, which leads to uneven distribution and weak diversity of optimization solutions of tourism routes. Inspired by these limitations, we propose a multi-objective evolutionary algorithm for tourism route recommendation (MOTRR) with two-stage and Pareto layering based on decomposition. The method decomposes the multi-objective problem into several subproblems, and improves the distribution of solutions through a two-stage method. The crowding degree mechanism between extreme and intermediate populations is used in the two-stage method. The neighborhood is determined according to the weight of the subproblem for crossover mutation. Finally, Pareto layering is used to improve the updating efficiency and population diversity of the solution. The two-stage method is combined with the Pareto layering structure, which not only maintains the distribution and diversity of the algorithm, but also avoids the same solutions. Compared with several classical benchmark algorithms, the experimental results demonstrate competitive advantages on five test functions, hypervolume (HV) and inverted generational distance (IGD) metrics. Using the experimental results of real scenic spot datasets from two famous tourism social networking sites with vast amounts of users and large-scale online comments in Beijing, our proposed algorithm shows better distribution. It proves that the tourism routes recommended by our proposed algorithm have better distribution and diversity, so that the recommended routes can better meet the personalized needs of tourists.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50861]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Xiaoyao Zheng,Baoting Han,Zhen Ni. Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(2):486-500.
APA	Xiaoyao Zheng,Baoting Han,&Zhen Ni.(2023).Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering.IEEE/CAA Journal of Automatica Sinica,10(2),486-500.
MLA	Xiaoyao Zheng,et al."Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering".IEEE/CAA Journal of Automatica Sinica 10.2(2023):486-500.