An interactive preference-guided firefly algorithm for personalized tourist itineraries
作者：
Highlights：
• Interactive Optimization Framework to support tourist decision making.
• Tourist itineraries as Multi-objective Prize-Collecting Vehicle Routing Problem.
• Propose interactive Preference-Guided Firefly Algorithm (PGFA) to optimize the PCVRP.
• Build preference model via UTASTAR, eliciting tourist preferential information.
• Experimental scenarios prove the effectiveness and robustness of the proposed PGFA.
摘要
•Interactive Optimization Framework to support tourist decision making.•Tourist itineraries as Multi-objective Prize-Collecting Vehicle Routing Problem.•Propose interactive Preference-Guided Firefly Algorithm (PGFA) to optimize the PCVRP.•Build preference model via UTASTAR, eliciting tourist preferential information.•Experimental scenarios prove the effectiveness and robustness of the proposed PGFA.
论文关键词：Interactive multi-objective optimization,Preference disaggregation,Personalized itinerary recommendation,Firefly algorithm
论文评审过程：Received 23 December 2019, Revised 8 May 2020, Accepted 12 May 2020, Available online 23 May 2020, Version of Record 1 June 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113563
