A resource flow-based branch-and-bound algorithm to solve fuzzy stochastic resource-constrained project scheduling problem

2021 ◽  
Author(s):  
Yaghoub Alipouri
Keyword(s):  
Branch And Bound ◽  
Project Scheduling ◽  
Branch And Bound Algorithm ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Resource Flow ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

A Resource Flow Based Branch-and-bound Algorithm to Solve Fuzzy Stochastic Resource-constrained Project Scheduling Problem

2021 ◽  
Author(s):  
Yaghoub Alipouri
Keyword(s):  
Branch And Bound ◽  
Project Scheduling ◽  
Resource Constraints ◽  
Scheduling Problem ◽  
Optimal Solutions ◽  
Resource Constrained ◽  
Start Time ◽  
Resource Flow ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

Abstract In this paper a resource flow based branch-and-bound procedure is designed to solve the well-known resource constrained project scheduling problem under the mixed uncertainty of fuzziness and randomness (FS-RCPSP). The objective is to minimize the expected makespan of the project subject to precedence and resource constraints. The proposed branch-and-bound can be employed to obtain optimal solutions and also can be truncated in order to find promising near optimal solutions. The depth-first strategy is utilized for constructing the search tree and earliest start time (EST) concept is adopted for selecting a node for further branching while traversing the tree down to the leaves. The performance of developed branch-and-bound is benchmarked against CPLEX and SADESP across an extensive set of 960 problems. The results returned by the proposed algorithm show experimentally its effectiveness to solve the FS-RCPSP.

scholarly journals A branch and bound hybrid algorithm with four deterministic heuristics for the resource constrained project scheduling problem (RCPSP)

DYNA ◽  
2015 ◽  
Vol 82 (190) ◽  
pp. 198-207 ◽  
Author(s):  
Daniel Morillo Torres ◽  
Luis Fernando Moreno Velasquez ◽  
Francisco Javier Díaz Serna
Keyword(s):  
Branch And Bound ◽  
Project Scheduling ◽  
Search Tree ◽  
Feasible Region ◽  
Scheduling Problem ◽  
Optimal Solutions ◽  
Resource Constrained ◽  
Basic Algorithm ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

This paper addresses the Resource Constrained Project Scheduling Problem (RCPSP). For its solution, a hybrid methodology, which uses a Branch and Bound basic algorithm with dominance rules, is developed and implemented, and is combined with four deterministic heuristics whose objective is to prune the search tree branches, taking into account the iterations available and, at the same time, to minimize the probability of discarding branches that contain optimal solutions. Essentially, these strategies allow the allocation of most iterations to the most promissory regions in an organized manner using only subsets with similar or the same characteristics as those of the optimal solutions at each level of the tree, thus assuring a broad search within the feasible region and, simultaneously, a good exploitation by the selective use of the subsets by level. Finally, the developed algorithm performance is analyzed by solving some of the problems of the PSPLIB test library.

scholarly journals A Branch and Bound Approach to Solve the Preemptive Resource Leveling Problem

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Behrouz Afshar-Nadjafi ◽  
Zeinab Khalaj ◽  
Esmaeil Mehdizadeh
Keyword(s):  
Objective Function ◽  
Branch And Bound ◽  
Project Scheduling ◽  
Branch And Bound Algorithm ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Additional Time ◽  
Resource Leveling ◽  
Branch And Bound Algorithms ◽  
Project Scheduling Problem

We study resource constrained project scheduling problem with respect to resource leveling as objective function and allowance of preemption in activities. The branch and bound algorithms proposed in previous researches on resource leveling problem do not consider preemption. So, representing a model for the problem, a branch and bound algorithm is proposed. This algorithm can handle preemption in resource leveling problem. Comparing the resource leveling problem and the preemptive resource leveling problem, it is observed that considering preemption in the problem leads to better results in the objective function. This improvement imposes additional time to solve the problem. Coding the algorithm in MATLAB and checking it on the projects with 8 and 10 activities, results show that the proposed algorithm is efficient.

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