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of 230
pro vyhledávání: '"Chen, Yingwu"'
This paper investigates heterogeneous-cost task allocation with budget constraints (HCTAB), wherein heterogeneity is manifested through the varying capabilities and costs associated with different agents for task execution. Different from the central
Externí odkaz:
http://arxiv.org/abs/2404.03974
Autor:
Song, Yanjie, Suganthan, P. N., Pedrycz, Witold, Ou, Junwei, He, Yongming, Chen, Yingwu, Wu, Yutong
Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain challenging to be addressed solely with a single model and algorithm. In
Externí odkaz:
http://arxiv.org/abs/2303.02618
The study of electromagnetic detection satellite scheduling problem (EDSSP) has attracted attention due to the detection requirements for a large number of targets. This paper proposes a mixed-integer programming model for the EDSSP problem and a gen
Externí odkaz:
http://arxiv.org/abs/2206.05694
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part C
Publikováno v:
In Computers & Industrial Engineering June 2024 192
Publikováno v:
In Swarm and Evolutionary Computation March 2024 85
There hardly exists a general solver that is efficient for scheduling problems due to their diversity and complexity. In this study, we develop a two-stage framework, in which reinforcement learning (RL) and traditional operations research (OR) algor
Externí odkaz:
http://arxiv.org/abs/2103.05847
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2023 126 Part D
Publikováno v:
In Swarm and Evolutionary Computation June 2023 79