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Bid Selection Strategies for Multi-agent Contracting in the Presence of Scheduling Constraints

  • John Collins
  • Rashmi Sundareswara
  • Maria Gini
  • Bamshad Mobasher
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1788)

Abstract

Bid evaluation in a multi-agent automated contracting environment presents a challenging search problem. We introduce a multi-criterion, anytime bid evaluation strategy that incorporates cost, task coverage, temporal feasibility, and risk estimation into a simulated annealing framework. We report on an experimental evaluation using a set of increasingly informed search heuristics within simulated annealing. The results show that excess focus on improvement leads to faster improvement early on, at the cost of a lower likelihood of finding a solution that satisfies all the constraints. The most successful approach used a combination of random and focused bid selection methods, along with pruning and repeated restarts.

Keywords

Feasible Schedule Tabu List Combinatorial Auction Task Duration Supplier Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • John Collins
    • 1
  • Rashmi Sundareswara
    • 1
  • Maria Gini
    • 1
  • Bamshad Mobasher
    • 2
  1. 1.Department of Computer Science and EngineeringUniversity of Minnesota 
  2. 2.School of Computer Science, Telecommunications, and Information SystemsDePaul University 

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