A reinforcement learning-assisted genetic programming algorithm for team formation problem considering person-job matching

Efficient team formation is crucial for successful completion of new projects in a company. To address the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer programming model with intuitionistic fuzzy numbers is proposed that considers both job matching and team members...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 650; S. 130917
Hauptverfasser:	Guo, Yangyang, Wang, Hao, He, Lei, Pedrycz, Witold, Suganthan, Ponnuthurai Nagaratnam, Xing, Lining, Song, Yanjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 14.10.2025
Schlagworte:	Ensemble population strategy Genetic programming Intuitionistic fuzzy numbers Reinforcement learning Surrogate model Team formation Surrogate model Intuitionistic fuzzy numbers Ensemble population strategy Genetic programming Team formation Reinforcement learning
ISSN:	0925-2312
Online-Zugang:	Volltext
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