Resource Constrained Project Scheduling Problem is a very important problem in project management, manufacturing and resource optimization. We focus on a variant of RCPSP with time lags and variable activity durations. The solving approach is based on Precedence Constraint Posting that adds new precedence constraints to the original project graph so that all resource conflicts are solved and a ...

The resource-constrained project scheduling problem (RCPSP) has been the subject of a great deal of research during the previous decades. This is not surprising given the high practical relevance of this scheduling problem. Nevertheless, extensions are needed to be able to cope with situations arising in practice such as multiple activity execution modes, activity duration changes and resource ...

The science of construction scheduling has gained importance in the past few decades and has become the focal point of construction management practitioners. Scheduling involves listing of a project's milestones, activities, and deliverables with intended start and finish dates. These are estimated in terms of resource allocation, budget and duration. Resource limits (manpower, machinery, mater...

The max k-armed bandit problem is a recently-introduced online optimization problem with practical applications to heuristic search. Given a set of k slot machines, each yielding payoff from a fixed (but unknown) distribution, we wish to allocate trials to the machines so as to maximize the maximum payoff received over a series of n trials. Previous work on the max k-armed bandit problem has as...

In this paper we propose off-line and on-line extensions to the Resource Constrained Project Scheduling Problem. The off-line extension is a variant of RCPSP with time lags and uncertain, bounded activity durations. In this context we improve over our previous work presented in [12] by proposing an incremental flow computation for finding minimal conflict sets and a set of filtering rules for c...

This paper describes a new representation for the solutions of the resource-constrained project scheduling problem (RCPSP) denoted Activity Set List. The most efficient heuristics for the problem use the activity list representation and the serial SGS method to construct the corresponding solution (schedule). The activity list may induce a search space of representations much larger then the sp...

The technical report presents a generic exact solution approach for minimizing the project duration of the resource-constrained project scheduling problem with generalized precedences (Rcpsp/max). The approach uses lazy clause generation, i.e., a hybrid of finite domain and Boolean satisfiability solving, in order to apply nogood learning and conflict-driven search on the solution generation. O...

This paper extends existing work on constraint-based scheduling for solving complex Resource Constrained Project Scheduling Problems. The main result of the paper is the reduction of the RCPSP/max problem to a Disjunctive Temporal Problem that allow customization of specific properties within a backtracking search procedure for makespan optimization where decision variables are Minimal Critical...

The well-known resource-constrained project scheduling problem (RCPSP) schedules project activities within the precedence and renewable resource constraints while minimizing the total lead-time of the project. The basic problem description assumes non-pre-emptive activities with fixed durations, and has been extended to various other assumptions in literature. In this paper, we investigate the ...

Large-scale projects often have several activities which are performed by subcontractors with limited multi-resources. Project scheduling with limited resources is one of the most famous problems in the research operations and optimization cases. The resource-constraint project scheduling problem (RCPSP) is a NP-hard problem in which the activities of a project must be scheduled to reduce the p...