Tourism site location based on a genetic algorithm

Godinho, P., Silva, M. and Moutinho, L. (2015) Tourism site location based on a genetic algorithm. Tourism Analysis, 20(2), pp. 159-172. (doi: 10.3727/108354215X14265319207317)

Abstract

This research study applies an underutilized analytical tool in academic tourism research, a genetic algorithm (GA), to the area of site location analysis. We initially dissect and explore all the relevant components and processes related to a GA. The proposed research model is then analyzed in terms of the incorporated variables and parameters as well as the reasoning behind their selection. An analytical comparative framework to measure the performance of the fitness function, which includes a pure GA, local search, and a mix of both approaches, is then introduced. The results indicate that in most cases the mixed approach has the better performance.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Moutinho, Professor Luiz
• Authors: Godinho, P., Silva, M., and Moutinho, L.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Tourism Analysis
• ISSN: 1083-5423
• ISSN (Online): 1943-3999