Mathematical Modeling of Resource-Constrained Project Scheduling Problem and Solving It by Using Metaheuristic Algorithms

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KAZEMI ALIYEH; Sarvandi Fatemeh

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: MODERN RESEARCHES IN DECISION MAKING Year:2019 | Volume:3 | Issue:4 Page(s): 28-50

Download Full-Text

Persian Verion

View:

911

Download:

Cites:

Information Journal Paper

Title

Mathematical Modeling of Resource-Constrained Project Scheduling Problem and Solving It by Using Metaheuristic Algorithms

Author(s)

KAZEMI ALIYEH | Sarvandi Fatemeh | Issue Writer Certificate

Keywords

Project schedulingQ1

resources constraintQ2

genetic algorithmQ2

particle swarm optimization algorithmQ1

differential evolution algorithmQ1

Abstract

One of the popular problems in operations research and project management is resource-constrained Project scheduling problem. In the present study, this problem is modeled considering important goals consisted of minimization of the project completion time, as well as minimization of the maximum cost of the project in one day. In this regard, all the possible prerequisite relations between the activities of a project are considered. The proposed model has been implemented for three real projects in different sizes and by using metaheuristic algorithms including genetic algorithm, particle swarm optimization and differential evolution. The results showed that differential evolution and particle swarm optimization algorithms have efficient performances compared to the genetic algorithms for large-and medium-scale projects respectively. The use of metaheuristic algorithms for solving small-scale projects is not recommended.

Cites

No record.

References

No record.

Cite

APA: Copy

KAZEMI, ALIYEH, & Sarvandi, Fatemeh. (2019). Mathematical Modeling of Resource-Constrained Project Scheduling Problem and Solving It by Using Metaheuristic Algorithms. MODERN RESEARCHES IN DECISION MAKING, 3(4 ), 28-50. SID. https://sid.ir/paper/369850/en

Vancouver: Copy

KAZEMI ALIYEH, Sarvandi Fatemeh. Mathematical Modeling of Resource-Constrained Project Scheduling Problem and Solving It by Using Metaheuristic Algorithms. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2019;3(4 ):28-50. Available from: https://sid.ir/paper/369850/en

IEEE: Copy

ALIYEH KAZEMI, and Fatemeh Sarvandi, “Mathematical Modeling of Resource-Constrained Project Scheduling Problem and Solving It by Using Metaheuristic Algorithms,” MODERN RESEARCHES IN DECISION MAKING, vol. 3, no. 4 , pp. 28–50, 2019, [Online]. Available: https://sid.ir/paper/369850/en

Related Journal Papers