Genetic Algorithm Essentials

• Main Author: Kramer, Oliver (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Studies in Computational Intelligence, 679
• Subjects: 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...

Table of Contents:

• 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.