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提出一种改进的蜜蜂进化型遗传算法。在该算法中,种群的最优个体作为蜂王与被选的每个个体(雄蜂)以一定概率进行交叉操作,从而增强了对种群最优个体所包含信息的开采能力;同时,为了避免过早收敛,算法在种群次优解周围进行局部搜索,引入新的随机个体,增加算法的多样性。实验结果表明,该算法能有效地提高遗传算法性能的求解精度和收敛速度。
An improved evolutionary bee genetic algorithm is proposed. In this algorithm, the optimal individual of the population is crossed with each selected individual (drone) with a certain probability as a queen, thereby enhancing the mining ability of the information contained in the optimal individual population. In the meantime, in order to avoid premature Convergence, the algorithm local search around the suboptimal solution population, the introduction of new random individuals, increasing the diversity of the algorithm. Experimental results show that the proposed algorithm can effectively improve the performance of the genetic algorithm and its convergence speed.