A Solution Method for the Academic Project Planning Problem Using Computational Optimization Algorithms

2021 ◽  
Vol 20 (4) ◽  
pp. 573-579
Author(s):  
Egor V. Dudukalov ◽  
Elena Yu. Zolochevskaya ◽  
SvetlanaG. Zubanova ◽  
OlegS. Kharlamov ◽  
ElenaV. Skripleva ◽  
...  
2012 ◽  
Vol 271-272 ◽  
pp. 1427-1433
Author(s):  
Hui Liu ◽  
Jian Ping Hao

In order to solve the planning problem of maintainability growth project, study of the model and algorithm in linear programming of maintainability growth project is put forward. Firstly, the linear relationship of factor and target as an example, the mathematical model of maintainability growth project planning is put forward in the article, and a general solution method is mentioned. Then according to the maintainability growth problem’s characteristic, the algorithm is improved. A solution method is brought out which is about simplex method with variable changed form 0 to 1- γi. This Algorithm makes the solution of maintainability growth project planning become much simpler than before.


2018 ◽  
Vol 7 (3.7) ◽  
pp. 43
Author(s):  
Mustafa M. A. Klufallah ◽  
Idris Othman ◽  
Muhd Fadhil Nuruddin ◽  
Mohd Faris Khamidi

A novel embodied carbon emission and construction cost computational optimization model has been developed based on evolutionary Genetic Algorithm (GA) for purpose built offices in the Malaysian construction industry. The GA evaluation was lack of implementation in addressing financial and environmental performances for construction projects in Malaysia. Therefore, the office project was evaluated through the adoption of ISO 14040 framework and evolutionary GA. The model was designed to provide alternative optimal design solutions for office buildings, which can be used at the early project planning and design stages. The assessment of embodied emissions was limited to pre-construction phase with “cradle to site” boundary. The model was tested statically to confirm the accuracy of the generated results. It provides an assessment model for managing carbon emission based on evaluation of environmental and financial performancesand it was validated by an application to an office building and the findings  obtained  suggest  that the it would be suitable for use in practice.  


2018 ◽  
Vol 35 (2) ◽  
pp. 1387-1398 ◽  
Author(s):  
A. Bhuvanesh ◽  
S.T. Jaya Christa ◽  
S. Kannan ◽  
M. Karuppasamy Pandiyan ◽  
K. Gangatharan

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