• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Jin Xing, Shi Chunyi. A Winner Determine Algorithm for Combinatorial Auctions with Decreasing Marginal Utilities[J]. Journal of Computer Research and Development, 2006, 43(7): 1142-1148.
Citation: Jin Xing, Shi Chunyi. A Winner Determine Algorithm for Combinatorial Auctions with Decreasing Marginal Utilities[J]. Journal of Computer Research and Development, 2006, 43(7): 1142-1148.

A Winner Determine Algorithm for Combinatorial Auctions with Decreasing Marginal Utilities

More Information
  • Published Date: July 14, 2006
  • Auctions are important mechanisms for resource and task allocation in multi-agent systems (MAS). Auction methods have explicit rules, require less agent abilities and achieve fast and efficient mutual agreements. In most microeconomic theories, consumers are assumed to exhibit decreasing marginal utilities. Aimed at the CAP in combinatorial auction with decreasing marginal utilities, the 1-UNT (1 unit cannot transfer) condition and k-UNT (k unit cannot transfer) condition of allocations are presented. A 1-UNT check based iterative algorithm is developed. The result of 1-UNT check based algorithm is proved with the effective rate of at least 0.5. Experiment study shows that the combination of 1-UNT algorithm and greedy algorithm can achieve better allocation in less time. A k-UNT check based algorithm is also presented proving that even in the simple case of CAP of 2 buyers, the k-UNT check based algorithm can not guarantee higher effective rate of 0.5. The 1-UNT check based algorithm partially improves the work of Benny Lehmann.
  • Related Articles

    [1]Chen Shuping, Wei Hongmei, Wang Fei, Li Yi, He Wangquan, Qi Fengbin. Method to Create Aggregate Tree for Hardware Supported Collectives[J]. Journal of Computer Research and Development, 2024, 61(2): 503-517. DOI: 10.7544/issn1000-1239.202220684
    [2]Liu Shifang, Zhao Yonghua, Yu Tianyu, Huang Rongfeng. Efficient Implementation of Parallel Symmetric Matrix Tridiagonalization Algorithm on GPU Cluster[J]. Journal of Computer Research and Development, 2020, 57(12): 2635-2647. DOI: 10.7544/issn1000-1239.2020.20190731
    [3]Li Tao, Liu Xuechen, Zhang Shuai, Wang Kai, Yang Yulu. Parallel Support Vector Machine Training with Hybrid Programming Model[J]. Journal of Computer Research and Development, 2015, 52(5): 1098-1108. DOI: 10.7544/issn1000-1239.2015.20131492
    [4]Cao Hongjia, Lu Yutong, Xie Min, and Zhou Enqiang. Experiences and Scalability Analysis of Parallel Job Startup[J]. Journal of Computer Research and Development, 2013, 50(8): 1755-1761.
    [5]Li Qiang, Sun Ninghui, Huo Zhigang, Ma Jie. Optimizing MPI Alltoall Communications in Multicore Clusters[J]. Journal of Computer Research and Development, 2013, 50(8): 1744-1754.
    [6]Lü Huiwei, Cheng Yuan, Bai Lu, Chen Mingyu, Fan Dongrui, Sun Ninghui. Parallel Simulation of Many-Core Processor and Many-Core Clusters[J]. Journal of Computer Research and Development, 2013, 50(5): 1110-1117.
    [7]Xie Min, Lu Yutong, Zhou Enqiang, Cao Hongjia, and Yang Xuejun. Implementation and Evaluation of MPI Checkpointing System over Lustre File System[J]. Journal of Computer Research and Development, 2007, 44(10): 1709-1716.
    [8]Zhao Yonghua, Chi Xuebin, Cheng Qiang. Efficient Algorithms for Matrix Eigenproblem Solver on SMP Cluster[J]. Journal of Computer Research and Development, 2007, 44(2): 334-340.
    [9]Zhang Wenli, Chen Mingyu, and Fan Jianping. Emulation and Forecast of HPL Test Performance[J]. Journal of Computer Research and Development, 2006, 43(3): 557-562.
    [10]Zhou Enqiang, Lu Yutong, and Shen Zhiyu. Implementation of Checkpoint System Towards Large Scale Parallel Computing[J]. Journal of Computer Research and Development, 2005, 42(6): 987-992.

Catalog

    Article views (541) PDF downloads (749) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return