%0 Journal Article
%A XIAO Xiao
%A LEI Xiu-juan
%T Deterministic single-airport ground-holding program based on Particle Swarm Optimization algorithm
%D 2009
%R 10.3778/j.issn.1002-8331.2009.24.070
%J Computer Engineering and Applications
%P 231-234
%V 45
%N 24
%X Single-airport ground holding problem has been solved with genetic algorithm，which is inefficient of searching optimum.Particle Swarm Optimization（PSO） algorithm has not been used for solving the problem because its solution space and particle code are difficult to design.So several algorithms，including Linearly Decreasing Weight（LDW） with contraction factor PSO algorithm，Random Weight（RW） with contraction factor PSO algorithm and PSO algorithm combined with Simulated Annealing（SA），are adopted to solve the deterministic single-airport ground holding model problem.The simulation results show that the algorithms improve the ability and efficiency of searching optimum notably compared with genetic algorithm，PSO algorithm combined with SA is the best in all.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.24.070