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...

Celý popis

Podrobná bibliografia

Vydané v:	2025 IEEE Congress on Evolutionary Computation (CEC) s. 1 - 8
Hlavní autori:	Zeng, Yi, Xia, Xuewen, Lin, Fenglin, Zhang, Yuehui, Liu, Meitong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 08.06.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!