Dual learning based Pareto evolutionary algorithm for a kind of multi-objective task assignment problem

The task assignment problem (TAP) involves assigning a set of tasks to a set of agents subject to the processing capacity of each agent. The objective is to minimize the total assignment cost and total communication cost. This paper focuses on a special kind of multi-objective TAP (MOTAP). MOTAP dif...

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Vydané v:	Expert systems with applications Ročník 276; s. 127006
Hlavní autori:	Li, Zuocheng, Du, Qinglong, Qian, Bin, Hu, Rong, Xu, Meiling
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2025
Predmet:	Machine learning Pareto optimization Shift-based density estimation Task assignment Pareto optimization Shift-based density estimation Task assignment Machine learning
ISSN:	0957-4174
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