Contemporary Advancement in Evolutionary Multi-objective Optimization

"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".

• Erscheinungsdatum: 21.07.2026
• 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: Download ab 21.07.2026
• Hinweis: Vorbestellung. Verfügbar per Download ab Erscheinungstag. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.

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