Topic: Applications of Artificial intelligence and quantum computing
This repository is based on the paper Quantum-inspired evolutionary algorithm for a class of combinatorial optimization by Kuk-Hyun Han and Jong-Hwan Kim.
Experiments are conducted on the well-known combinatorial optimization issue known as the "knapsack problem" to show its efficacy and application. In comparison to the traditional genetic algorithm, the results demonstrate that QEA performs effectively even with a small population without experiencing premature convergence.
The Paper which we based our project on: https://ieeexplore.ieee.org/abstract/document/1134125