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文化算法是继遗传算法之后更高效的搜索算法,它源于对人类社会多层面进化的模拟,为进化算法提供了一个新的计算框架。本文是对文化算法的一个改进。与原来的算法相比,将空间的各坐标轴用区间进行划分,且划分为不等间距,这样把空间中的半可行域又进行细分,缩小了搜寻范围,提高算法的效率。
Cultural algorithm is a more efficient search algorithm after genetic algorithm. It originated from the simulation of multi-level evolution of human society and provided a new computing framework for evolutionary algorithm. This article is an improvement on the cultural algorithm. Compared with the original algorithm, the coordinate axes of the space are divided by intervals and divided into unequal intervals, so that the semi-feasible space in the space is subdivided again to narrow the search range and improve the efficiency of the algorithm.