An improved bee evolutionary genetic algorithm
Ming Huang, Ji Baohui, Liang Xu · 2010
An improved bee evolutionary genetic algorithm is proposed for enhancing the optimization capability of genetic algorithms. Firstly, the self-adaptive selection operator is used to limit the size of the random population in each generation, the strategy could find new space of solution timely, so as to find the optimal solution faster. And then, controlling operation that extends biodiversity of the swarm is introduced to avoid premature convergence. Finally, simulation examples show that the convergence speed and solution precision of the proposed algorithm was increased effectively.