An Advanced Stochastic Time-Cost Tradeoff Analysis Based on a CPM-Guided Genetic Algorithm

2015 ◽  
Vol 30 (10) ◽  
pp. 824-842 ◽  
Author(s):  
Hyung-Guk Lee ◽  
Chang-Yong Yi ◽  
Dong-Eun Lee ◽  
David Arditi
Keyword(s):  
Genetic Algorithm ◽  
Time Cost ◽  
Tradeoff Analysis ◽  
Stochastic Time

scholarly journals Multi-objective optimization of time-cost-quality in construction projects using genetic algorithm

2020 ◽  
Vol 19 (3) ◽  
pp. 335-346
Author(s):  
Cemil Akcay ◽  
◽  
Setenay Işikyildiz ◽  
Keyword(s):  
Genetic Algorithm ◽  
Construction Projects ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Time Cost ◽  
Multi Objective Optimization ◽  
Quality Optimization ◽  
Tradeoff Analysis ◽  
Single Solution ◽  
Genetic Algorithm Method

In this study, it was aimed to develop a model that provides Time-Cost-Quality optimization in construction projects using Genetic algorithm method. In order to fulfill that, Matlab codes for a multi-purpose genetic algorithm that performs Time-Cost-Quality optimization were developed and applied to the problem, and the targeted success level was substantially achieved. This model is capable of performing and visualizing an advanced three-dimensional time, cost, quality tradeoff analysis instead of the traditional two-dimensional time-cost tradeoff analysis. It was possible to select the desired alternative under the project conditions obtaining pareto images called a set of solutions rather than a single solution. In addition, one of the main objectives of this study is to develop an effective model to assist the main contractors of the construction in selecting the most suitable subcontractors.

A TIME-COST TRADE-OFF MODEL WITH RESOURCE CONSIDERATION USING GENETIC ALGORITHM

1997 ◽  
Vol 14 (4) ◽  
pp. 291-311 ◽  
Author(s):  
D. K. H. CHUA ◽  
W. T. CHAN ◽  
K. GOVINDAN
Keyword(s):  
Genetic Algorithm ◽  
Time Cost ◽  
Trade Off

Time-Cost Tradeoff Analysis in Project Management: An Ant System Approach

2011 ◽  
Vol 58 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Hadi Mokhtari ◽  
Reza Baradaran Kazemzadeh ◽  
Ali Salmasnia
Keyword(s):  
Project Management ◽  
System Approach ◽  
Time Cost ◽  
Ant System ◽  
Tradeoff Analysis

Incentive genetic algorithm based time–cost trade-off analysis across a build–operate–transfer project concession period

2011 ◽  
Vol 38 (2) ◽  
pp. 166-174 ◽  
Author(s):  
Hongxian Li ◽  
Mohamed Al-Hussein ◽  
Zhen Lei
Keyword(s):  
Genetic Algorithm ◽  
Sensitivity Analysis ◽  
Genetic Algorithms ◽  
Construction Cost ◽  
Methodological Framework ◽  
Time Cost ◽  
Trade Off ◽  
Operation Period ◽  
Concession Period ◽  
New Infrastructure

The build–operate–transfer (BOT) scheme is widely applied to finance new infrastructure projects with private sector (concessionaire) participation. For a predetermined concession period (CP), assuming that CP consists of the construction duration (CD) and the concession operation period (OP), different construction durations result in different profits for the concessionaire. Meanwhile, according to the time–cost trade-off (TCT) principle, shortening the CD increases the construction cost; shortening the CD also prolongs the OP, which could increase the total benefit of BOT projects. Hence, how to arrange construction reasonably to maximize the whole profit is a key issue for a concessionary. This paper proposes a methodological framework including optimization, sensitivity analysis, and improved (incentive) genetic algorithms (GA) for BOT projects. Through the proposed methodological framework, the reasonable construction duration of a BOT project can be obtained. A numerical example is used to verify the proposed methodology.

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