基于先天免疫机制的果蝇免疫协同优化算法

Co-fly Immune Optimization Algorithm Based on Innate Immune Mechanism of Fruit-fly

基于果蝇极为简单、有效的先天性免疫应答机制,研究果蝇免疫协同优化算法。该算法中,结合黑化作用、细胞免疫及体液免疫的协同免疫应答机制,设计种群的划分及各子群的进化模块。其思想简洁易懂,内外循环的平衡设计以及协同思想的引入,保证了算法的优化效果与效率。大量实验表明,该算法在寻优能力、搜索效率及高维函数优化等方面均具有明显优势。

Based on the simple and effective innate immune response mechanism of fruit-fly,a collaborative optimization algorithm of fruit-fly’s immune is discussed.The synergistic immune response mechanism of melanization,cellular immunity and humoral immunity is used to design the population division and subgroup evolution in this algorithm.The algorithm has the merits of structural simplicity,the balance of internal and external circulation and the collaborative design are induced to ensure the optimization effect and efficiency of the algorithm.Comparative numerical results show that the algorithm has obvious advantages in search ability,search efficiency and high-dimensional functions optimization and so on.