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This article discusses the potential applications of evolutionary computation, a problem-solving methodology inspired by natural genetics and evolutionary processes. It highlights the wide range of problems that can be solved using this approach and the effectiveness of evolutionary computation in dealing with challenging problem characteristics. The article also invites submissions on recent advances in the theory and applications of evolutionary computation, including techniques such as genetic algorithms, genetic programming, and memetic algorithms. Additionally, it welcomes papers that explore the intersection of evolutionary computation and machine learning.
