A Distributed Optimization Problem Subject to Partial-Impact Cost Functions

This article focuses on a distributed optimization problem subject to partial-impact cost functions that relates to two decision variable vectors. To this end, two algorithms are presented with the aim of solving the considered optimization problem in a structure fashion and in a gradient fashion, r...

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Veröffentlicht in:	IEEE transactions on cybernetics 2022-11, Vol.52 (11), p.12612-12617
Hauptverfasser:	Xia, Zicong, Liu, Yang, Lu, Jianquan, Qiu, Jianlong, Cao, Jinde
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Convergence Cost function Cybernetics Distributed optimization Laplace equations Linear programming Mathematical analysis Minimization methods nonsmooth analysis Optimization partial-impact cost function subdifferentiation unified dimension
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