Distributed Pareto Optimization via Diffusion Strategies

We consider solving multi-objective optimization problems in a distributed manner by a network of cooperating and learning agents. The problem is equivalent to optimizing a global cost that is the sum of individual components. The optimizers of the individual components do not necessarily coincide a...

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Veröffentlicht in:	IEEE journal of selected topics in signal processing 2013-04, Vol.7 (2), p.205-220
Hauptverfasser:	Jianshu Chen, Sayed, A. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregates Algorithms Cascades Collaborative decision making convergence Cost function Diffusion diffusion adaptation distributed optimization Equivalence fixed point mean-square performance Networks Noise Operators Optimization Pareto optimality Pareto optimization stability Strategy Studies Upper bound Vectors
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