نوع مدرک: متون چاپی سرشناسه Kramer ، Oliver، نویسنده عنوان : Genetic Algorithm Essentials تکرار نام مولف : by Oliver Kramer ویرایش : 1st ed. 2017 صفحه شمار: 1 online resource (IX, 92 pages 38 illustrations in color.) شابک/شاپا 978-3-319-52156-5 موضوعها : اصفا
Artificial intelligence ؛ Computational intelligenceچکیده : 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 مندرجات Part I: Foundations -- Introduction -- Genetic Algorithms -- Parameters -- Part II: Solution Spaces -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning -- Applications -- Part IV: Ending -- Summary and Outlook -- Index -- References لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=7595 زبان مدرک : English
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