Neural Networks for Heuristic Selection: An Application in Resource-Constrained Project Scheduling

1995 ◽  
pp. 297-312
Author(s):  
Dan Zhu ◽  
Rema Padman
Keyword(s):  
Neural Networks ◽  
Project Scheduling ◽  
Resource Constrained ◽  
Resource Constrained Project Scheduling

scholarly journals A hybrid approach for solving multi-mode resource-constrained project scheduling problem in construction

2019 ◽  
Vol 9 (1) ◽  
pp. 7-13 ◽  
Author(s):  
Jerzy Hubert Rosłon ◽  
Janusz Edward Kulejewski
Keyword(s):  
Neural Networks ◽  
Project Scheduling ◽  
Hybrid Approach ◽  
Future Research ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Suggested Approach ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem ◽  
Multi Mode

AbstractPractical problems in construction can be easily qualified as NP-hard (non-deterministic, polynomial-time hard) problems. The time needed for solving these problems grows exponentially with the increase of the problem’s size – this is why mathematical and heuristic methods do not enable finding solutions to complicated construction problems within an acceptable period of time. In the view of many authors, metaheuristic algorithms seem to be the most appropriate measures for scheduling and task sequencing. However even metaheuristic approach does not guarantee finding the optimal solution and algorithms tend to get stuck around local optima of objective functions. This is why authors considered improving the metaheuristic approach by the use of neural networks. In the article, authors analyse possible benefits of using a hybrid approach with the use of metaheuristics and neural networks for solving the multi-mode, resource-constrained, project-scheduling problem (MRCPSP). The suggested approach is described and tested on a model construction project schedule. The results are promising for construction practitioners, the hybrid approach improved results in 87% of tests. Based on the research outcomes, authors suggest future research ideas.

A memetic algorithm to address the multi-node resource-constrained project scheduling problem

2021 ◽  
Author(s):  
Luis F. Machado-Domínguez ◽  
Carlos D. Paternina-Arboleda ◽  
Jorge I. Vélez ◽  
Agustin Barrios-Sarmiento
Keyword(s):  
Project Scheduling ◽  
Memetic Algorithm ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem
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