Multi-Objective Optimization Evolutionary to Hybrid Framework /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mandal, Jyotsna K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mukhopadhyay, Somnath (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dutta, Paramartha (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Computer science-Mathematics.; Mathematical optimization.; Computational intelligence.; Mathematics of Computing.; Optimization.; Computational Intelligence.

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving variou...

Πίνακας περιεχομένων:

• Chapter 1. An Advance Overview of Single and Multi-Objective Optimization
• Chapter 2. Non-dominated Sorting Based Multi/Many Objective Optimization: Two Decades of Research and Application
• Chapter 3. Uncertain Multi-objective Portfolio Selection Model based on Genetic Algorithm
• Chapter 4. A Multiobjective Genetic Algorithm-based Approach for Identifying Relevant and Non-redundant Cancer-MicroRNA Markers
• Chapter 5. Application of Multi-objective Optimizations in Protein Structure Prediction
• Chapter 6. Multi-target Multiobjective Programming and Patrol Manpower Planning for Traffic Management via Genetic Algorithm
• Chapter 7. Multi-objective Optimization for Key Player Identification in Networks
• Chapter 8. Joint Maximization in Energy and Spectral Efficiency in Cooperative Cognitive Radio Networks
• Chapter 9. A Neoteric Multi-Objective Framework for Engineering Process Optimization: Metaheuristics and Experimental Designs based Approach
• Chapter 10. Multi/Many Objective Optimization - Hybrid Intelligent Framework
• Chapter 11. Efficiency Maximization of Multimedia Data Mining using Multiobjective Neuro-ACO Approach
• Chapter 12. Optimized Determination of Separating Hyper-Plane of an SVM - Hybrid Multiobjective Model
• Chapter 13. Efficient Cluster Head Selection in Wireless Sensor Network using Multiobjective Model
• Chapter 14. Achieving Optimized Bio-Metric Security in E-Governance by Multiobjective Neuro Approach
• Chapter 15. Advantage of Quantum Inspired Multiobjective Genetic Algorithm over Classical Multiobjective Genetic Algorithm
• Chapter 16. Optimizing Performance Parameter of Image Segmentation using Hybrid Multiobjective Framework.