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研究求解偏高维多模态函数优化的小种群果蝇优化算法.算法设计中,优质种群经局部变异探测优质个体;中等种群经精英个体引导实现个体转移;劣质种群依赖于精英和劣质个体沿着多方位搜寻多样个体.该算法具有结构简单、可调参数少、进化能力强等优点,其计算复杂度低.比较性的数值实验显示,此算法寻优能力强、搜索效率高且对偏高维函数优化问题具有较好应用潜力.
In the algorithm design, high-quality population is detected by local variation of high-quality individuals; medium population is guided by elite individual to achieve individual transfer; low-quality population is dependent on elite and inferior individuals Aiming at diversified search for diversified individuals.The algorithm has the advantages of simple structure, less adjustable parameters, strong evolutionary ability and low computational complexity.Comparative numerical experiments show that this algorithm has excellent searching ability and high searching efficiency High-dimensional function optimization problems have good potential applications.