Scheduling project networks with resource constraints and time windows
Annals of Operations Research
Backtracking algorithms for disjunctions of temporal constraints
Artificial Intelligence
A Constraint-Based Method for Project Scheduling with Time Windows
Journal of Heuristics
SAT-Based Procedures for Temporal Reasoning
ECP '99 Proceedings of the 5th European Conference on Planning: Recent Advances in AI Planning
Efficient solution techniques for disjunctive temporal reasoning problems
Artificial Intelligence
Complete MCS-based search: application to resource constrained project scheduling
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Solving disjunctive temporal problems with preferences using maximum satisfiability
AI Communications - 18th RCRA International Workshop on “Experimental evaluation of algorithms for solving problems with combinatorial explosion”
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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.