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How to Design Good Rules for Multiple Learning Agents in Scheduling Problems?

  • Keiki Takadama
  • Masakazu Watabe
  • Katsunori Shimohara
  • Shinichi Nakasuka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1733)

Abstract

This paper explores how to design good rules for multiple learning agents in scheduling problems and investigates what kind of factors are required to find good solutions with small computational costs. Through intensive simulations of crew task scheduling in a space shuttle/station, the following experimental results have been obtained: (1) an integration of (a) a solution improvement factor, (b) an exploitation factor, and (c) an exploration factor contributes to finding good solutions with small computational costs; and (2) the condition part of rules, which includes flags indicating overlapping, constraints, and same situation conditions, supports the contribution of the above three factors.

Keywords

rule design scheduling problem multiple learning agents organizational learning learning classifier system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Keiki Takadama
    • 1
  • Masakazu Watabe
    • 1
  • Katsunori Shimohara
    • 1
  • Shinichi Nakasuka
    • 2
  1. 1.ATR Human Informationrocessing Research Labs.Soraku-gunJapan
  2. 2.Univ. of TokyoBunkyo-kuJapan

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