Buch, Englisch, 318 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 511 g
Evolutionary to Hybrid Framework
Buch, Englisch, 318 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 511 g
ISBN: 978-981-13-4639-2
Verlag: Springer Nature Singapore
The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.