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tsp-problem

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Travel_Route_Planner_ADS_Kim

This "Travel Route Planner" project optimizes travel plan within budget and distance constraints. Using Knapsack & Greedy Method for budget allocation and dynamic programming for TSP, it offers efficient routes. With geocoding & mapping, it tailors plans for satisfying travel experiences.

  • Updated May 9, 2024
  • Python

This project aims to show capabilities of Alteryx software on the Kaggle data named "Superstore". The project includes creation of an analytic application, spatial analysis, creating report visualisations, exploratory data analysis, and a unique Alteryx approach to the traveling salesman problem.

  • Updated May 4, 2024

This repository is created for educational purposes as part of the Intelligent Systems Lab Assignment. It aims to foster understanding of evolutionary computation techniques and encourage experimentation with genetic algorithms in solving combinatorial optimization problems.

  • Updated Apr 21, 2024
  • Jupyter Notebook

Optimize specific transports (single depot location, customer locations with pickups and deliveries) and displays the optimal routes for each of your vehicles on the map.

  • Updated Apr 18, 2024
  • JavaScript

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