The book "Information Processing with Evolutionary Algorithms" offers a comprehensive analysis of the application of evolutionary algorithms in information processing. In recent decades, interest in computationally intensive approaches to information processing has significantly increased. The boundaries between statistics, optimization, artificial intelligence, and information processing are increasingly blurring. This work highlights how heuristic methods and advanced mathematical approaches are used in areas traditionally characterized by ad-hoc programming. It demonstrates how techniques such as clustering are employed for data analysis and rapid indexing on the internet. Additionally, the role of non-trivial matrix algebra in computer vision is emphasized. The authors, Manuel Grana, Richard J. Duro, Alicia d'Anjou, and Paul P. Wang, provide valuable insights into the challenges and opportunities arising from the search for optimal values in complex, high-dimensional spaces.