The notions of dominating sets of graphs began almost 400 years ago with the game of chess, which sparked the analysis of dominating sets of graphs, at first relatively loosely until the beginnings of the 1960s, when the issue was given mathematical description. It's among the most important problems in graph theory, as well as an NP-Complete problem that can't be solved in polynomial time. As a result, we describe a new hybrid cuckoo search technique to tackle the MDS problem in this work. Cuckoo search is a well-known metaheuristic famed for its capacity for exploring a large area of the search space, making it useful for diversification. However, to enhance performance, we incorporated intensification techniques in addition to the genetic crossover operator in the suggested approach. The comparison of our method with the corresponding state-of-the-art techniques from the literature is presented in an exhaustive experimental test. The suggested algorithm outperforms the present state of the art, according to the obtained results.
翻译:主导式图表集的概念始于近400年前的象棋游戏,它首先引发了对主导式图表集的分析,最初相对松散,直到1960年代初期,这个问题得到了数学描述。这是图形理论中最重要的问题之一,也是无法在多民族时代解决的NP-Compllete问题之一。结果,我们描述了一种新的混合库式搜索技术,以解决这项工作中的MDS问题。Cuckoo的搜索以其探索大面积搜索空间的能力而闻名于世,使其有利于多样化。然而,为了提高性能,我们在所建议的方法中除了遗传交叉操作器之外,还采用了强化技术。我们的方法与文献中相应的最新技术的比较是在一项详尽的实验中介绍的。根据所获得的结果,所建议的算法不符合目前艺术状态。