Journal of the American Society for Information Science and Technology
An intelligent market segmentation system using k-means and particle swarm optimization
Expert Systems with Applications: An International Journal
A hybrid genetic - Particle Swarm Optimization Algorithm for the vehicle routing problem
Expert Systems with Applications: An International Journal
An application of particle swarm optimization algorithm to clustering analysis
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Digital Information Forensics
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization to Design Ideotypes for Sustainable Fruit Production Systems
International Journal of Swarm Intelligence Research
Category role aided market segmentation approach to convenience store chain category management
Decision Support Systems
Hi-index | 12.05 |
This study intends to apply particle swarm optimization algorithm to cluster analysis for investigating market segmentation of Taiwanese tourists based on their motivation to visit Indonesia. In addition, Taiwanese tourists' preference of several types of tourism destinations offered in Indonesia will also be studied. According to the cluster analysis results, we will propose marketing strategy based on market segmentation and tourists' preferences revealed. The computational results reveal that there were four clusters formed. Moreover, by using perceptual map, it was also known that most of respondents tend to visit heritage, culture, and nature-based tourism destinations offered in Indonesia.