Foundations of Global Genetic Optimization

• Main Author: Schaefer, Robert (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Studies in Computational Intelligence, 74
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

This book is devoted to the application of genetic algorithms in continuous global optimization. Some of their properties and behavior are highlighted and formally justified. Various optimization techniques and their taxonomy are the background for detailed discussion. The nature of continuous genet...

Table of Contents:

• Global optimization problems
• Basic models of genetic computations
• Asymptotic behavior of the artificial genetic systems
• Adaptation in genetic search
• Two-phase stochastic global optimization strategies
• Summary and perspectives of genetic algorithms in continuous global optimization.