Genetic Algorithm Essentials

• Κύριος συγγραφέας: Kramer, Oliver (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Studies in Computational Intelligence, 679
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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 over...

Πίνακας περιεχομένων:

• 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.