Multimodal Optimization by Means of Evolutionary Algorithms

• Κύριος συγγραφέας: Preuss, Mike (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Natural Computing Series,
• Θέματα: Computer science.; Algorithms.; Mathematical optimization.; Computational intelligence.; Computer Science.; Algorithm Analysis and Problem Complexity.; Computational Intelligence.; Optimization.

This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he examines their suitability fo...

Πίνακας περιεχομένων:

• Introduction: Towards Multimodal Optimization
• Experimentation in Evolutionary Computation
• Groundwork for Niching
• Nearest-Better Clustering
• Niching Methods and Multimodal Optimization Performance
• Nearest-Better Based Niching.