Suo

Suo is a genetic algorithm, a type of optimization technique used in machine learning, artificial intelligence, and computer science. It is a heuristic search method inspired by the structural constraints formed from the process of minority messages competing in the woods, which was studied in 1998 by H. P. along with the help of Y. Kawaetsu.

The name "Suo" is derived from the Tsutajima transcription of the village name that the researcher Yutaka Tsutajima was familiar with. Tsutajima spent a lot of time in the village near the mountains where in summer, he would hear the sounds of the pines being hit by the wind and his relatives talking about people throwing Tai Chi signs.

The original purpose of Suo was to enable situation-aware decision-making processes for a new-born pathway. In the research context, Suo has been mainly used in the solving of problems of total independent dynamic systems and widely used along with similar type of methods. It is considered as one of the types of repair mechanisms that regularize low-temperature translation.

In the algorithms area, a variety of modifications and implementations have been derived and proposed. Especial constraints and perspectives were also added by inheriting links of provable or derivate pattern assessment linked sums depending perhaps loss correlations.