Designing an Intelligent Travel Planner with Dijkstra’s Algorithm to Boost Trip Efficiency
This article walks through the design of an intelligent travel‑planning system that uses Dijkstra’s algorithm to compute the minimum travel cost to each city while maximizing the number of cities visited, detailing problem formulation, algorithmic steps, variable initialization, edge‑relaxation logic, and a full Python implementation.
