Applications of Evolutionary Computation: Past Success and Future Challenges

Dear Colleagues,

Evolutionary computation (EC) counts nearly 50 years of research. During these decades, EC has been applied in many fields, such as engineering, operational research, finance, telecommunication, sports science, and, most recently, it is combined with machine learning.

This Special Issue aims to highlight the latest applications of EC. Therefore, I invite you to submit original studies applying EC in challenging real-world problems. Such studies may depict the ability of EC to provide near-optimal solutions in a reasonable amount of time when dealing with complex optimization tasks. Or they may introduce a hybrid scheme of EC methods to tackle problems more efficiently. Moreover, studies addressing the recent trend of evolutionary computation for machine learning are highly welcome.

Another aim of this Special Issue is to present some application areas in which EC has established its position as a powerful optimization tool. Thus, I also seek surveys that discuss the achievements of EC in various fields. Works providing a review of established EC algorithms fall within the scope of this Special Issue, too.

The Special Issue focuses on the applications of existing evolutionary/nature-inspired algorithms, not the introduction of new metaphor-based algorithms. Therefore, submissions proposing a new algorithm are discouraged.

Dr. Alexandros Tzanetos
Guest Editor

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