A neurodynamic optimization approach characterized by a negative subgradient flow (NSF) is proposed to solve distributed nonconvex resource allocation problem (DNRAP). Under some mild assumptions, it is proved that the state solutions of the proposed approach converge to the critical point set of the considered DNRAP.
Nov 1, 2022
Nov 1, 2022 · In this paper, we study nonconvex resource allocation problem, which is studied very rare as far as we know. · The nonconvex distributed ...
A neurodynamic optimization approach characterized by a negative subgradient flow (NSF) is proposed to solve distributed nonconvex resource allocation ...
A neurodynamic optimization approach characterized by a negative subgradient flow (NSF) is proposed to solve distributed nonconvex resource allocation ...
This paper presents a neurodynamic approach with a recurrent neural network for solving convex optimization problems with general constraint.
Abstract. A nonconvex distributed optimization problem involving nonconvex objective functions and inequality constraints within an undirected multi-agent ...
Apr 18, 2024 · In this article, we propose a collaborative neurodynamic optimization (CNO) method for the distributed seeking of generalized Nash ...
A collective neurodynamic approach to distributed resource allocation ...
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Apr 15, 2024 · To solve a distributed optimal resource allocation problem, a collective neurodynamic approach based on recurrent neural networks (RNNs) is ...
This paper presents a quantum-behaved neurodynamic swarm optimization approach to solve the nonconvex optimization problems with inequality constraints.
In this article, we present a collaborative neurodynamic approach to distributed optimization with nonconvex functions. ... RESOURCE-ALLOCATION, CONVEX- ...