论文部分内容阅读
布谷鸟搜索算法是一种启发式算法,利用Lévy Flight能够快速寻找到全局最优解。通过研究复杂网络随机游走模型,并根据经典布谷鸟搜索算法,提出了一种新的改进的Tempered Lévy Flight搜索算法。通过几个经典函数测试表明,改进的算法提高了其搜索精度,加快了搜索算法的收敛速度。此外,改进的搜索算法还能够调整搜索范围,增加种群多样性,增强自适应效果,提高算法的整体性能。
Cuckoo search algorithm is a heuristic algorithm, using Lévy Flight can quickly find the global optimal solution. By studying the random walk model of complex networks and based on the classic cuckoo search algorithm, a new improved Tempered Lévy Flight search algorithm is proposed. Several classical function tests show that the improved algorithm improves the search precision and accelerates the convergence speed of the search algorithm. In addition, the improved search algorithm can also adjust the search range, increase the population diversity, enhance the adaptive effect and improve the overall performance of the algorithm.