Multi-objective Optimization for COVID Vaccine Management
summary
Clustered >300 vaccination centers with KMeans and KNN, fit line and curve models for three predictors using R² comparisons to pick objective functions, and implement multi‑objective particle swarm (NSPSO) with PyGMO in Python. The system optimizes two conflicting objectives — maximize administered doses and minimize shortfall/surplus — and produces a Pareto front; applying NSPSO moves a representative shortfall from ~40 down to ~10–20 and yields per‑neighborhood optimal order quantities.
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chapters (9)
- 0:00Introduction
- 0:16What is Optimization
- 1:30Single and Multiobjective Optimization
- 2:35Defining Optimization Problem
- 3:51The Problem
- 4:43Setup
- 5:50Objective Function
- 7:01Solver
- 9:23Final Result
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