This research implements the hill climbing algorithm to optimize shortest routes to destinations, suggesting improved travel efficiency for tourists in Surabaya.
Key Points
The hill climbing algorithm effectively reduces travel distance for tourists in Surabaya, leading to optimized routes.
Testing showed that the algorithm generated more efficient travel routes compared to randomly ordered routes, enhancing user experience.
A GUI-based interface integrates with Google Maps, facilitating user navigation through optimized paths to tourist sites.
The study highlights the importance of heuristic approaches in developing intelligent travel planning systems for urban tourism.