https://github.com/vyjayanthipolapragada/influencer_optimal_selection
This project aims to compare and analyze results from different optimization methods—MILP using branch and bound, MILP using branch and cut, and Genetic Algorithm—to identify the best approach for selecting influencers based on engagement and cost for a marketing campaign.
https://github.com/vyjayanthipolapragada/influencer_optimal_selection
branch-bound-algorithm branch-cut data-analytics data-science genetic-algorithm milp-optimisation optimization-algorithms pandas python
Last synced: 2 months ago
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This project aims to compare and analyze results from different optimization methods—MILP using branch and bound, MILP using branch and cut, and Genetic Algorithm—to identify the best approach for selecting influencers based on engagement and cost for a marketing campaign.
- Host: GitHub
- URL: https://github.com/vyjayanthipolapragada/influencer_optimal_selection
- Owner: VyjayanthiPolapragada
- Created: 2025-01-01T23:25:04.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-01-01T23:43:21.000Z (5 months ago)
- Last Synced: 2025-01-30T06:30:42.310Z (4 months ago)
- Topics: branch-bound-algorithm, branch-cut, data-analytics, data-science, genetic-algorithm, milp-optimisation, optimization-algorithms, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 32.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0