Discussing the article: "Time Evolution Travel Algorithm (TETA)"

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Check out the new article: Time Evolution Travel Algorithm (TETA).

This is my own algorithm. The article presents the Time Evolution Travel Algorithm (TETA) inspired by the concept of parallel universes and time streams. The basic idea of the algorithm is that, although time travel in the conventional sense is impossible, we can choose a sequence of events that lead to different realities.

In the story presented, a scientist discovered a way to travel between parallel universes by changing key variables in his life. This metaphor forms the basis of the proposed optimization algorithm. To make this clearer, consider the figure below, which illustrates the algorithm's idea of parallel universes that arise every time decisions are made. Each universe that has a complete space is defined by the presence of features in the form of anchors: family, career, achievements, etc.

By combining the properties of these anchors, one can create a new universe that represents the solution to an optimization problem, in which the anchors are the parameters being optimized.

Figure 1. Parallel universes with their own unique anchors (features)

The TETA algorithm is based on the concept of multiple parallel universes, each of which represents a potential solution to an optimization problem. In its technical embodiment, each such universe is described by a vector of coordinates (a[i].c), where each coordinate is an anchor — a key variable that determines the configuration of a given reality. These anchors can be thought of as the most important parameters, the settings of which affect the overall quality of the solution.

Author: Andrey Dik