计算机工程与应用2012，Vol.48Issue(35)：207-212,6.DOI:10.3778/j.issn.1002-8331.1204-0751
基于模糊APACA的多目标团队个性旅游线路设计
Personalized tourist trip design with multi-objective of group members based on fuzzy adaptive and polymorphic ant colony algorithm
摘要
Abstract
Aiming at the comprehensiveness and complexity of tourist trip design, the concept of personalized tourist trip design is put forward, and corresponding model with multi-objective of group members is developed. Fuzzy triangle function is used to express uncertainty of travel time. According to the characteristics of problems, a modified adaptive polymorphic ant colony algorithm is presented, which can provide Pareto sets for each tourist with the itinerary best suited to their needs. This itinerary can bear in mind the rigid conditions, such as the views opening time and tourists' routing days, along with flexible constraints, such as tourists' wishes and the optimal travelling time of the area. Experiments are designed to evaluate the proposed algorithm compared to genetic algorithm. The results indicate that the proposed algorithm is feasible and valid.关键词
个性化线路/多目标/旅游收益/自适应多态蚁群算法Key words
personalized tourist trip/ multi-objective/ gain/ adaptive polymorphic ant colony algorithm分类
交通工程引用本文复制引用
张燕君,徐克林..基于模糊APACA的多目标团队个性旅游线路设计[J].计算机工程与应用,2012,48(35):207-212,6.
