- Basic Implementation of Ant Colony Optimization
- Ant Colony Optimization with a bias towards exploitation
- Ant Colony Optimization with a local pheromone updating rule
- Elitist Ant System
- Max-Min Ant System
- Rank-based ant system
- Parallel Ant Colony Optimization
- Continuous Orthogonal Ant Colony
- Recursive Ant Colony Optimization
- Sequential Ordering Problem
- Job-Shop Scheduling Problem
- Open-Shop cheduling Problem
- Permutation Flow Shop Problem
- Single Machine Total Tardiness Problem
- Single Machine Total Weighted Tardiness Problem
- Resource-Constrained Project Scheduling Problem
- Group-Shop Scheduling Problem
- Single-Machine Total Tardiness Problem with Sequence Dependent Setup Times
- Multistage Flowshop Scheduling Problem
- Assembly Sequence Planning
- Capacitated Vehicle Routing Problem
- Multi-Depot Vehicle Routing Problem
- Period Vehicle Routing Problem
- Split Delivery Vehicle Routing Problem
- Stochastic Vehicle Routing Problem
- Vehicle Routing Problem with Pick-Up and Delivery
- Vehicle Routing Problem with Time Windows
- Time Dependent Vehicle Routing Problem with Time Windows
- Vehicle Routing Problem with Time Windows and Multiple Service Workers
- Quadratic Assignment Problem
- Generalized Assignment Problem
- Frequency Assignment Problem
- Redundancy Allocation Problem
- Set Cover Problem
- Partition Problem
- Weight Constrained Graph Tree Partition Problem
- Arc-Weighted l-Cardinality Tree Problem
- Multiple Knapsack Problem
- Maximum Independent Set Problem
- Antenna Optimization
- CMOS Amplifier Optimization
- Reversible Circuit Synthesis
There is another repository for implementations and applications of Ant Colony Optimization which I created earlier. It contains the programs which I developed for basic implementation of Ant Colony Optimization and its applications. Please note that I have divided the original notebook into 9 parts and then I have uploaded them in this repository since original notebook (Created: September 2022) is quite large and cannot be uploaded here.