Computational Intelligence for Network Structure Analytics

• Κύριοι συγγραφείς: Gong, Maoguo (Συγγραφέας), Cai, Qing (Συγγραφέας), Ma, Lijia (Συγγραφέας), Wang, Shanfeng (Συγγραφέας), Lei, Yu (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Θέματα: Computer science.; Computers.; Data mining.; Artificial intelligence.; System theory.; Mathematical optimization.; Computer Science.; Artificial Intelligence (incl. Robotics).; Optimization.; Complex Systems.; Theory of Computation.; Data Mining and Knowledge Discovery.

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional o...

Πίνακας περιεχομένων:

• Introduction
• Network Community Discovery with Evolutionary Single-objective Optimization
• Network Community Discovery with Evolutionary Multi-objective Optimization
• Network Structure Balance Analytics with Evolutionary Optimization
• Network Robustness Analytics with Optimization
• Real-world Cases of Network Structure Analytics
• Concluding Remarks.