Research and Application of A Mutative Step Double Chains Quantum Genetic Algorithm
In this paper,a mutative step double chains quantum genetic algorithm (MSDCQGA) is presented by analysing double chains quantum genetic algorithm which is base on real-code and gradient information of objective function in complex continuous space optimization problem.It is designed a new strategy of which is updated quantum rotation gate in the MSDCQGA.Moreover,in the quantum genetic algorithm (QGA),the superposition of the quantum chromosome make itself has variety because quantum state has characteristics of superposition and entanglement by itself.Using mutation and crossover of quantum chromosome cannot enhance the variety of population.The simulation results show that this algorithm has good stability,fast convergence rate and optimization ability.
quantum computation double chains quantum genetic algorithm mutative step optimization algorithm
SHA Lin-xiu HE Yu-yao LI Lin ZAHNG Qi-zhi
College of Marine,Northwestern Polytechnical University Xian,710072,China Key Laboratory of Drilling Rigs Controlling Technique Xian Shiloh University
国际会议
太原
英文
47-50
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）