Genetische Algorithmen leicht gemacht: Ein Leitfaden für Anfänger zur Lösung von Optimierungsproblemen
19,61 €
It clarifies how key operators, selection, crossover, and mutation work together to evolve a population of candidate solutions over generations. They see firsthand how even a straightforward GA evolves better schedules, striking an optimal balance between exploration and exploitation.Beyond this introductory scenario, the text encourages readers to extend, adapt, and refine GAs for their own projects.
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