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.

Project Scheduling as a Disjunctive Temporal Problem

Oddi Angelo;Rasconi Riccardo;Cesta Amedeo
2010

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.
2010
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Inglese
Helder Coelho, Rudi Studer, Michael Wooldridge.
ECAI 2010 - 19th European Conference on Artificial Intelligence, Lisbon, Portugal, August 16-20, 2010, Proceedings.
ECAI 2010 - 19th European Conference on Artificial Intelligence.
215
967
968
2
978-1-60750-605-8
Sì, ma tipo non specificato
August 16-20, 2010
Lisbon, Portugal
constraint-based reasoning
project scheduling
disjunctive temporal problem
3
none
Oddi, Angelo; Rasconi, Riccardo; Cesta, Amedeo
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/305740
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