Abstract:

In the field of research and development, the most valuable source of inspiration comes from nature itself. Animals, insects, and microorganisms show some study principles that inspire today’s science and advance and provide ideas in this field. These principles are called bio-inspiration algorithms. Of course, in the years when a lot of diversity exploded in the recommendations of bio-inspiring algorithms, it didn’t take a long time to present new techniques, which are a very specific animal for the concept; man. And these techniques are known as socially-inspired algorithms that inspire their function in behavior based on human species and can be applied to solve any problem. The algorithms inspired by society are a certain type of meta-sessential that relies on their behavior on the human society. It is a simple approach to the complex world of evolutionary information processing, with multiple simulations with recognizable patterns every day. The aim of this study is to verify whether these algorithms have functional capacity to solve optimization problems. Through experimental analysis, the results of these algorithms will be collected for a well-known comparison and compared with some reference algorithms that allow sufficient assessment of their potential in these types of problems. According to the comparison results, the effectiveness of the algorithms will be assessed.

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