An Improved Real Coded Quantum Genetic Algorithm and its Applications
Xinli Xu, Jiajing Jiang, Jing Jie, Haiyan Wang, Wanliang Wang · 2010
In this paper, an new quantum genetic algorithm (RQGA) is presented to enhance the global optimization capability. Different from previous quantum genetic algorithm, the proposed RQGA uses real-coded replacing binary code, and uses approximation operator replacing rotation gate. RQGA can accelerate the convergence speed, and improve the solution precision. The results of function optimization and 0-1 knapsack problem show that RQGA is an effective algorithm.