Comparison of genetic algorithm and quantum genetic algorithm

الملخص EN

Evolving solutions rather than computing them certainly represents a promising programming approach.

Evolutionary computation has already been known in computer science since more than 4 decades.

More recently, another alternative of evolutionary algorithms was invented : Quantum Genetic Algorithms (QGA).

In this paper, we outline the approach of QGA by giving a comparison with Conventional Genetic Algorithm (CGA).

Our results have shown that QGA can be a very promising tool for exploring search spaces.