Discussing the article: "Adaptive Social Behavior Optimization (ASBO): Two-phase evolution"
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Check out the new article: Adaptive Social Behavior Optimization (ASBO): Two-phase evolution.
We continue dwelling on the topic of social behavior of living organisms and its impact on the development of a new mathematical model - ASBO (Adaptive Social Behavior Optimization). We will dive into the two-phase evolution, test the algorithm and draw conclusions. Just as in nature a group of living organisms join their efforts to survive, ASBO uses principles of collective behavior to solve complex optimization problems.
In the previous article, we have considered an example of Schwefel's concept, which includes a normal distribution, the use of self-adaptive mutation rates, and a function for determining the nearest neighbors by their fitness value. Now our path leads us to a new stage of research, where we will dive into a two-phase process, completing the formation of the algorithm as a mathematical model - ASBO (Adaptive Social Behavior Optimization). We will undertake a comprehensive testing of this exciting model on the test functions that are already familiar to us and draw conclusions about its efficiency. In this article, we will uncover new applications of social behavior in living organisms in the field of optimization, and present unique results that will help us better understand and use the principles of collective behavior to solve complex problems.
Author: Andrey Dik