Application of efficient distributedoptimization algorithms in multi-agent systems designed for socio-economic problems demands additional conditions for algorithms to be satisfied. In particular. the algorithm shoul...
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Application of efficient distributedoptimization algorithms in multi-agent systems designed for socio-economic problems demands additional conditions for algorithms to be satisfied. In particular. the algorithm should be incentive compatible. i.e., the model of behaviour of any agent should be in concordance with interests of a particular economic subject represented by this agent in system. On an example of the resource allocation problem we study incentive compatibility of the famous algorithm for dynamic distributed optimization the alternating direction method of multipliers (ADMM). (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rigths reserved.
We provide results of experimental comparison of several resource allocation rules suggested for implementation in multiagent systems and distributed decision-making environments. We show that their performance is wor...
详细信息
We provide results of experimental comparison of several resource allocation rules suggested for implementation in multiagent systems and distributed decision-making environments. We show that their performance is worse than theoretical expected and offer approach for explanation why it happens. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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