Graph Learning-based Dynamic Multi-objective Optimization Algorithm

Dynamic Multi-objective Optimization Problems (DMOPs) involve multiple conflicting objective functions that evolve over time. Solving DMOPs requires Dynamic Multiobjective Optimization Algorithms (DMOAs) capable of tracking the dynamic evolution of the Pareto-optimal Front (POF) in real time. In rec...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS) S. 283 - 288
Hauptverfasser:	Wang, Chi, Song, Wei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.08.2025
Schlagworte:	Accuracy Benchmark testing Computational modeling Dynamic multi-objective optimization Evolutionary computation Graph Learning Heuristic algorithms Optimization Partitioning algorithms Prediction algorithms Prediction model Predictive models Time series analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!