Solving multi-mode resource-constrained project scheduling problem using two multi objective evolutionary algorithms

2012 ◽  
Vol 6 (11) ◽  
Author(s):  
R. S. Aboutalebi
Computing ◽  
2019 ◽  
Vol 101 (6) ◽  
pp. 547-570 ◽  
Author(s):  
Erfan Babaee Tirkolaee ◽  
Alireza Goli ◽  
Milad Hematian ◽  
Arun Kumar Sangaiah ◽  
Tao Han

2020 ◽  
Vol 165 ◽  
pp. 06055
Author(s):  
Ru Wang ◽  
Jing Lian

Considering multiple possible scenarios in the process of project construction, the prefabricated project scheduling problem is studied in combination with the theory of multi-mode resource-constrained project scheduling problem. Multi-objective multi-mode resource-constrained project scheduling model with time/robustness trad-offs was constructed. Next, the adjusted non-dominated genetic algorithm (NSGA-II) was designed to solve the model. Finally, the proposed model and algorithm were implicated to a real project, in order that research achievement can guide managers to make decisions and invest resources scientifically and reasonably.


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