Teil der Reihe: Computer Science (R0)
Contemporary Advancement in Evolutionary Multi-objective Optimization
Inhaltsangabe
"Balancing exploration-exploitation using Switching Mechanism Integrated with Adaptive Heterogeneous Comprehensive Learning PSO and L-SHADEBalancing exploration-exploitation using Switching Mechanism Integrated with Adaptive Heterogeneous Comprehensive Learning PSO and L-SHADE".- "Evolutionary Multi- and Many-objective Optimization: Enhancements using Machine Learning".- "A Many-Objective Optimized Folded Cross Regression Model (FCRM) with Unspecified Targets: A Critical Analysis".- "Emerging Techniques for Evolutionary Single- and Multi-Objective Optimization with Application to Humanoid Robot Gait Generation".- "Optimization models in Nurse Scheduling – A Review of last five years".- "A Review of Bilevel Optimization Methods, Emerging Applications, and Recent Advancements".- "A Review of Advances in Multi-Objective Optimization for Facility Location Problems".- "A Survey on Recent Advances in Multiobjective Evolutionary Clustering".
Produktdetails
- Erscheinungsdatum: 15.06.2026
- Autor/Autorin: Somnath Mukhopadhyay
- Reihe: Computer Science (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 12.1 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 234 Seiten
- ISBN: 9789819579082
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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