Discussing the article: "Exchange Market Algorithm (EMA)"
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Check out the new article: Exchange Market Algorithm (EMA).
In the field of numerical optimization, new algorithms are continuously being developed that aim to effectively solve complex problems under conditions of uncertainty and multidimensionality. Among these, population-based metaheuristics occupy a special place. By simulating natural or social processes, they demonstrate impressive abilities in finding global optima.
However, not every new algorithm is capable of achieving competitive performance levels. This article presents a detailed analysis of the Exchange Market Algorithm (EMA), a representative of the aforementioned class of methods inspired by the behavior of stock market traders. The algorithm simulates stock trading, where market participants with varying degrees of success employ various strategies to maximize profits.
Author: Andrey Dik