Project Scheduling as a Disjunctive Temporal Problem

  • Authors:
  • Angelo Oddi;Riccardo Rasconi;Amedeo Cesta

  • Affiliations:
  • ISTC-CNR, Via San Martino della Battaglia 44, 00185 Rome, Italy. Email: {angelo.oddi,riccardo.rasconi,amedeo.cesta}@istc.cnr.it;ISTC-CNR, Via San Martino della Battaglia 44, 00185 Rome, Italy. Email: {angelo.oddi,riccardo.rasconi,amedeo.cesta}@istc.cnr.it;ISTC-CNR, Via San Martino della Battaglia 44, 00185 Rome, Italy. Email: {angelo.oddi,riccardo.rasconi,amedeo.cesta}@istc.cnr.it

  • Venue:
  • Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The main result of the paper is the reduction of the RCPSP/max problem to a Disjunctive Temporal Problem that allows customization of specific properties within a backtracking search procedure for makespan optimization. In addition, a branching strategy is proposed able to deduce new constraints which explicitly represent infeasible or useless search paths. A new variable ordering heuristic (called clustering) is also used which provides a further boosting to the algorithm's effectiveness.