A neurodynamic optimization approach to nonconvex resource allocation problem

Yiyuan Chai; Guocheng Li; Sitian Qin; Jiqiang Feng; Chen Xu

doi:10.1016/j.neucom.2022.09.044

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A neurodynamic optimization approach to nonconvex resource allocation problem

Yiyuan Chai Guocheng Li Sitian Qin Jiqiang Feng Chen Xu

Year: 2022 Journal: Neurocomputing Vol: 512 Pages: 178-189 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2022.09.044

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Keywords:

Subgradient method Mathematical optimization Convergence (economics) Exponent Set (abstract data type) Resource allocation Feasible region State (computer science) Mathematics Optimization problem Point (geometry) Computer science Benchmark (surveying) Rate of convergence Quadratic equation Algorithm Channel (broadcasting)

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Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

A neurodynamic optimization approach to nonconvex resource allocation problem

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