Improved bee evolutionary genetic algorithms
Jun Zhang · Jisuanji gongcheng yu sheji · 2008
An improved bee evolutionary genetic algorithms (A_BEGA) is proposed. In the algorithms, the best chromosome called queen among the current population is crossovered with drones selected according to a certain crossover probability, which enhances the exploitation of searching global optimum. At the same time, a local search is adopted to randomly produce more parents around the secondary best chromosome, so as to escape the premature and increase the exploration ability. Finally, the experimental results prove that the proposed algorithm is actually a great improvement of genetic algorithms in solution precision and convergence speed.