Approximate representation of the Pareto frontier in multiparty negotiations: Decentralized methods and privacy preservation
文献类型：期刊论文
| 作者 | Lou, Youcheng1,2 ; Wang, Shouyang2
|
| 刊名 | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
 |
| 出版日期 | 2016-11-01 |
| 卷号 | 254期号:3页码:968-976 |
| ISSN号 | 0377-2217 |
| 关键词 | Multiparty negotiations Decentralized methods Privacy preservation Pareto optimal solutions |
| DOI | 10.1016/j.ejor.2016.04.060 |
| 英文摘要 | Multiparty negotiations have drawn much research attention in recent years and an important problem is how to find a Pareto optimal solution or the entire Pareto frontier in a decentralized way. Privacy preservation is also important in negotiation analysis. The main aim of this paper is to find an approximate representation of the Pareto frontier in a decentralized manner and meanwhile, all parties' privacy can be effectively protected. In this paper, we propose a decentralized discrete-time algorithm based on a weight sum method and the well-known subgradient optimization algorithm, where a mediator works as a coordinator to help negotiators. The proposed algorithm is easily executable, and it only requires the mediator to compute a weighted average of the noisy estimates received from negotiators and negotiators to follow a subgradient optimization iteration at this weighted average. The proposed algorithm can generate an approximate Pareto optimal solution for one particular weight vector and an approximate representation of the Pareto frontier by varying appropriately weight vectors. The approximation error between the obtained approximate representation and the Pareto frontier can be controlled by the number of iterations and the step-size. Moreover, it also reveals that the proposed algorithm is privacy preserving as a result of the random disturbance technique and the weighted average scheme used in this algorithm. (C) 2016 Elsevier B.V. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China[71401163] ; China Postdoctoral Science Foundation[2014M550098] ; Hong Kong Research Grants Council[414513] ; Hong Kong Research Grants Council[14204514] ; Hong Kong Scholars Program[XJ2015049] |
| WOS研究方向 | Business & Economics ; Operations Research & Management Science |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000378663000023 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/22942]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Lou, Youcheng |
| 作者单位 | 1.Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Shatin, Hong Kong, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lou, Youcheng,Wang, Shouyang. Approximate representation of the Pareto frontier in multiparty negotiations: Decentralized methods and privacy preservation[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,2016,254(3):968-976. |
| APA | Lou, Youcheng,&Wang, Shouyang.(2016).Approximate representation of the Pareto frontier in multiparty negotiations: Decentralized methods and privacy preservation.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,254(3),968-976. |
| MLA | Lou, Youcheng,et al."Approximate representation of the Pareto frontier in multiparty negotiations: Decentralized methods and privacy preservation".EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 254.3(2016):968-976. |
入库方式： OAI收割
来源：数学与系统科学研究院
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