Improved Sinusoid Size Ring Structure Quantum Evolutionary Algorithm
Nan-nan LIU · Journal of Chinese Computer Systems · 2010
SRQEA adopts dynamic population size and provides a balance between exploration and exploitation and is characterized by good global searching capacity.But in application,SRQEA tends to be local optimum,because of the randomness when observing the quantum chromosomes and the quantum rotation gate's inherent defect.Basing on SRQEA,this paper proposes an improved SRQEA(called SRQEA2)by adopting two times observations and He gate.Testing on three 0-1 knapsack problems and five continued functions optimization,the results show that SRQEA2 is superior to SRQEA.