Complex Continuous Function Optimization Problem of Dynamic Quantum Genetic Algorithm
HUANG Shan
QIN Hua
SU Yidan
FENG Zhixin
Abstract：A complex continuous function optimization of dynamic quantum genetic algorithm (DQGA ) is studied .A dynamic update strategy of quantum rotation angle and quantum gate adjust strategy is designed to speed up the algorithm convergence speed ,at the same time for the elimination of poor fitness individuals ,the mutation operator dynamically is em-bedded in the quantum rotation strategy table .Introducing the cataclysm operator in the late evolution algorithm makes the algorithm timely and jump out of local optimum ,premature convergence is avoid .Five complex continuous functions of the test results show that the proposed algorithm’s optimization ability for optimization of complex continuous function is stron-ger than QGA ,the stability of the algorithm is higher ,the iteration number of the algorithm is superior to traditional quan-tum genetic algorithm .
Keywords：complex continuous function optimizationquantum genetic algorithmdynamic adjusting rotation anglethe cataclysm operator
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1407-1411,1415 )