ABC-Tuned ACO Fleet Optimization
A hybrid fleet-optimization system that combines demand forecasting, Artificial Bee Colony (ABC) hyperparameter tuning and Ant Colony Optimization (ACO) for cost-aware shipment planning.
- Problem
- Cost-aware shipment planning
- Method
- Demand forecasting + ABC hyperparameter tuning + ACO
- Status
- In development (03/2026 — present)
- Tech stack
- Demand Forecasting, Artificial Bee Colony (ABC), Ant Colony Optimization (ACO)
The project is in development; result metrics will be added when it is complete.
Problem
Plan a fleet’s shipments in a cost-aware way: decide which vehicle visits which delivery points, and in what order, while accounting for expected demand.
Approach
A hybrid system that combines three components is being developed:
- Demand forecasting: Estimating the demand that feeds into planning.
- Ant Colony Optimization (ACO): Searching for the route and shipment plan.
- Artificial Bee Colony (ABC): Automatically tuning ACO’s hyperparameters, carrying the ABC-based optimization experience from my AutoML work over to an operations problem.