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A Course on Combinatorial Problems and Ant Colony Optimization Algorithm
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This course is helpful to learn the following concepts:
Part 1:
1. The main components of the
2. Formulating combinatorial optimization problems
3. The difficulty of combinatorial optimization problems
4. State space tree
5. Search space
6. Travelling Salesman Problem (TSP)
Part 2:
1. Exact methods
2. Heuristics methods
3. Brute-force (exhaustive) algorithm to solve combinatorial problems
4. Branch and bound algorithm to solve combinatorial problems
5. Nearest neighbour to solve Travelling Salesman Problem
Part 3:
1. Inspirations of the Ant Colony Optimization (ACO)
2. Mathematical models of the Ant Colony Optimization
3. Implementation of the Ant Colony Optimization
4. Testing and analysing the performance of the Ant Colony Optimization
5. Tuning the parameter of the Ant Colony Optimization
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