A Centroid Guided Cluster Transformation for Dynamic Multi-Objective Optimization Algorithm

In recent years, prediction-based algorithms have made significant progress in solving dynamic multi-objective optimization problems (DMOPs). However, most existing algorithms only consider information from several consecutive environments and ignore previous search experiences. This article uses th...

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Veröffentlicht in:	2025 IEEE Congress on Evolutionary Computation (CEC) S. 1 - 8
Hauptverfasser:	Zeng, Yi, Xia, Xuewen, Lin, Fenglin, Zhang, Yuehui, Liu, Meitong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.06.2025
Schlagworte:	Benchmark testing cluster transformation Clustering algorithms Dynamic multi-objective optimization algorithm Heuristic algorithms Long short term memory Long Short-Term Memory (LSTM) Optimization Prediction algorithms Predictive models Reliability
Online-Zugang:	Volltext
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