Discussing the article: "Turtle Shell Evolution Algorithm (TSEA)"
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Check out the new article: Turtle Shell Evolution Algorithm (TSEA).
This is a unique optimization algorithm inspired by the evolution of the turtle shell. The TSEA algorithm emulates the gradual formation of keratinized skin areas, which represent optimal solutions to a problem. The best solutions become "harder" and are located closer to the outer surface, while the less successful solutions remain "softer" and are located inside. The algorithm uses clustering of solutions by quality and distance, allowing to preserve less successful options and providing flexibility and adaptability.
The turtle shell is composed of biological tissue and carbonate substances, such as calcium and magnesium. The carbonate structure of the shell provides it with strength and protects the turtle's internal organs. The shell of young turtles consists of soft cartilaginous plates, which harden and turn into bones over time. The shell grows due to the regular deposition of new layers of bone tissue under the turtle's skin. This process allows the shell to increase in size as the turtle grows and may result in new patterns appearing or existing ones changing over time.
The patterns on the turtle's shell are not random. They are formed as a result of certain biological processes and can be classified into different groups or "clusters" based on their shape, color and location. For example, some turtles have star-shaped patterns, while others have patterns that resemble leopard skin. As a turtle's shell grows, the patterns on it can change and evolve. This may result in a change in the cluster the pattern belongs to. For example, a pattern that was originally classified as "star" may become more complex over time.
It is important to note that each turtle has unique patterns on its shell, which help it adapt to its environment and perform important functions such as camouflage or attracting mates for breeding.
The patterns on the turtle shell inspired me to create an original optimization algorithm, and the evolution of the turtle shell became a metaphor for the process of merging and clustering data and determined the creation of a new tool that can adapt and evolve based on experience and knowledge.
Author: Andrey Dik