metaheuristics-tutorial
Please do not refer to this code until Nov. 2019.
metaheuristics-tutorial
is a tutorial for who is studying metaheuristics, combinatorial optimization, operations research using Python, DEAP (Distributed Evolutionary Algorithms in Python).
Dependencies
metaheuristics-tutorial requires:
- Python (>= 3.7.4)
- NumPy (>= 1.16.5)
- pandas (>= 0.25.1)
- SciPy (>= 0.17.0)
- PuLP (>= 1.6.9)
- DEAP (>= 1.3.1)
- tabulate (>= 0.8.5)
metaheuristics-tutoral
does not support Python 2.7.
Combinatorial Optimization using Metaheuristics
Problems
- Travelling Salesman Problem
- Knapsack Problem
Simulated Annealing (SA)
- Description
- Materials
- Continuous -
- Discrete -
Tabu Search (TS)
- Description
- Materials
- Discrete