Auction Optimization

Auction Optimization is a methodological framework within computational economics that systematically enhances the allocation of indivisible goods and the determination of corresponding prices in combinatorial auctions by maximizing a defined objective function—typically social welfare or revenue—subject to feasibility and strategic constraints.

217

Publications

11K

Citations

514

Authors

264

Institutions

Publications per year

2017–2026

57

Authors

514

  1. MP
    Michael P. Wellman

    University of Michigan, United States

    4 publications · 307 citations

    4

    h-index

  2. KL
    Kevin Leyton‐Brown

    University of British Columbia, Canada

    3 publications · 160 citations

    3

    h-index

  3. RV
    Rakesh Vohra

    Northwestern University, United States

    3 publications · 217 citations

    3

    h-index

  4. PG
    Paulo Góes

    University of Arizona, United States

    3 publications · 172 citations

    3

    h-index

  5. JL
    Jean‐Jacques Laffont

    Institut d'Économie Industrielle, France

    3 publications · 263 citations

    3

    h-index

1–5 of 514

Venues

  1. Journal of Economic Theory

    JET · 7 publications · 316 citations

    7

    h-index

  2. Games and Economic Behavior

    6 publications · 419 citations

    6

    h-index

  3. IEEE Transactions on Power Systems

    6 publications · 387 citations

    6

    h-index

  4. European Journal of Operational Research

    5 publications · 204 citations

    5

    h-index

  5. Operations Research

    4 publications · 257 citations

    4

    h-index

1–5