TY - GEN
T1 - Solution of cannonball dispersion evenness based on estimation of distribution algorithm
AU - Wang, Gaopeng
AU - Dou, Lihua
AU - Zhang, Juan
AU - Chen, Chen
PY - 2008
Y1 - 2008
N2 - Cannonball dispersion evenness is the main parameter for the design and optimization of future air window. The key of solution of cannonball dispersion evenness is the computations of the biggest value and smallest value of a 2-dimensional continuous function, which has many maximum values and minimum values. Moreover, as it need to compute the biggest value and smallest value for many times in the design and parameter computation of FAW, the solution algorithm is required global convergence and quick convergence speed. Many randomly generated individuals are introduced in each generation to avoid local convergence, and in order to speed up the convergence speed, probability distribution models are founded to guide the searching process. By computer simulation verifying, the algorithm has the advantages of quick convergence speed and high precision of solution in certain generations compared to conventional genetic algorithm. The algorithm is also suitable for other optimizing solutions of 2-dimentional continuous function.
AB - Cannonball dispersion evenness is the main parameter for the design and optimization of future air window. The key of solution of cannonball dispersion evenness is the computations of the biggest value and smallest value of a 2-dimensional continuous function, which has many maximum values and minimum values. Moreover, as it need to compute the biggest value and smallest value for many times in the design and parameter computation of FAW, the solution algorithm is required global convergence and quick convergence speed. Many randomly generated individuals are introduced in each generation to avoid local convergence, and in order to speed up the convergence speed, probability distribution models are founded to guide the searching process. By computer simulation verifying, the algorithm has the advantages of quick convergence speed and high precision of solution in certain generations compared to conventional genetic algorithm. The algorithm is also suitable for other optimizing solutions of 2-dimentional continuous function.
KW - 2-dimensional continuous function
KW - Cannonball dispersion evenness
KW - Estimation of distribution algorithm (EDA)
KW - Future air window
UR - http://www.scopus.com/inward/record.url?scp=52149108080&partnerID=8YFLogxK
U2 - 10.1109/WCICA.2008.4593518
DO - 10.1109/WCICA.2008.4593518
M3 - Conference contribution
AN - SCOPUS:52149108080
SN - 9781424421145
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 3696
EP - 3701
BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08
Y2 - 25 June 2008 through 27 June 2008
ER -