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Genetic Algorithm Essentials (Studies in Computational Intelligence Book 679)

Oliver Kramer; Springer International Publishing

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مشخصات کتاب

نویسنده
Oliver Kramer; Springer International Publishing
ناشر
Springer International Publishing Imprint : Springer
سال انتشار
۲۰۱۷
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱٫۷ مگابایت
شابک
9783319521558، 9783319521565، 3319521551، 331952156X

دربارهٔ کتاب

This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.

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