Discussing the article: "Big Bang - Big Crunch (BBBC) algorithm"

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Check out the new article: Big Bang - Big Crunch (BBBC) algorithm.

The article presents the Big Bang - Big Crunch method, which has two key phases: cyclic generation of random points and their compression to the optimal solution. This approach combines exploration and refinement, allowing us to gradually find better solutions and open up new optimization opportunities.

In the vast expanses of the Universe, where stars are born and die, there are hidden secrets that humanity strives to unravel. Big Bang-Big Crunch (BBBC) method is a global optimization algorithm inspired by processes occurring in space. Let's explore this fascinating concept.

The Big Bang and Crunch Theory was proposed as an alternative scenario for the end of the Universe by physicists Alexander Friedmann and Georges Lemaitre in the early 20th century. They noticed that Einstein's equations of general relativity allow for both expansion and contraction of the universe. Friedman proved mathematically that the Universe cannot remain static and must either expand or contract. He identified three possible scenarios for its development: eternal expansion, expansion followed by contraction, and an oscillatory regime.


Author: Andrey Dik

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