A Multi-objective Genetic Algorithm Model for Time-Cost Trade-Off Analysis of Construction Projects

2009 ◽  
Author(s):  
A. Senouci ◽  
H.R. Al-Derham
Keyword(s):  
Genetic Algorithm ◽  
Construction Projects ◽  
Time Cost ◽  
Trade Off ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Genetic Algorithm Model

scholarly journals Fuzzy Multi-Objective Genetic Algorithm Based Resource Constrained Time-Cost Trade-Off Model under Uncertain Environment

2021 ◽  
Vol 9 (8) ◽  
pp. 1126-1133
Author(s):  
Ashish Sharma
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Construction Projects ◽  
Risk Level ◽  
Pareto Optimal ◽  
Time Cost ◽  
Trade Off ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Abstract: In every construction project, the time and cost are the two most important objectives/factors to be considered. Clients and contractors should strive to optimize the project time and cost to maximize the return. Resources are also one of the major constraints of the construction projects. In recent years, several studies have been conducted to optimize the time and cost of project under constraint conditions of resources. Since most studies assume the time and cost as deterministic parameters, uncertainties should be considered in estimating the time and cost of the project's activities when minimizing the duration and cost of the project. For this purpose, this paper embeds the fuzzy logic to handle the uncertainties in estimating the time and cost. Besides, the multi-objective genetic algorithm (MOGA) is used to develop the resourceconstrained time-cost trade-off model. Alpha-cut approach is utilized to define the accepted risk level of decision maker. The efficiency of the proposed model is demonstrated through solvinga case study project of highway construction. The results of case study project provide a set of Pareto-optimal solutions. The developed model encourage the decision making process by choosing specified risk levels and utilizing the related Pareto-front. Keywords: Construction projects, time-cost trade-off, uncertainties, fuzzy logic, MOGA,Pareto-optimal solution.

scholarly journals A new approach to solving the time-cost trade-off problem based on the genetic algorithm and fuzzy theory

2012 ◽  
Vol 1 (3) ◽  
pp. 238
Author(s):  
Nasser Shahsavari Pour ◽  
Arman Ghamginzadeh ◽  
Mansoor Pour Kheradmand
Keyword(s):  
Genetic Algorithm ◽  
Taguchi Method ◽  
Fuzzy Theory ◽  
New Method ◽  
Time Cost ◽  
New Approach ◽  
Trade Off ◽  
Uncertainty Condition ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Time and cost are two important and controllable objectives in project structures which are considerably dependent on each other. Recently, beneficiaries demands for cost and time reduction in completing a project have been increased. This study proposes a new method for time-cost trade off problem (TCTP) in uncertainty condition. To solve the model a multi objective genetic algorithm has been integrated with fuzzy theory. Efficiency of this algorithm is demonstrated through an existing case example from the literature. Finally to make the algorithm more efficient the existing parameters in the model have been set through Taguchi method.

scholarly journals Application of Three Metaheuristic Algorithms to Time-Cost-Quality Trade-Off Project Scheduling Problem for Construction Projects Considering Time Value of Money

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2402
Author(s):  
Omid Kebriyaii ◽  
Ali Heidari ◽  
Mohammad Khalilzadeh ◽  
Jurgita Antucheviciene ◽  
Miroslavas Pavlovskis
Keyword(s):  
Construction Projects ◽  
Metaheuristic Algorithms ◽  
Grey Wolf Optimizer ◽  
Time Cost ◽  
Nsga Ii ◽  
Trade Off ◽  
Time Value Of Money ◽  
Multi Objective ◽  
Time Value ◽  
Value Of Money

Time, cost, and quality have been known as the project iron triangles and substantial factors in construction projects. Several studies have been conducted on time-cost-quality trade-off problems so far, however, none of them has considered the time value of money. In this paper, a multi-objective mathematical programming model is developed for time-cost-quality trade-off scheduling problems in construction projects considering the time value of money, since the time value of money, which is decreased during a long period of time, is a very important matter. Three objective functions of time, cost, and quality are taken into consideration. The cost objective function includes holding cost and negative cash flows. In this model, the net present value (NPV) of negative cash flow is calculated considering the costs of non-renewable (consumable) and renewable resources in each time period of executing activities, which can be mentioned as the other contribution of this study. Then, three metaheuristic algorithms including multi-objective grey wolf optimizer (MOGWO), non-dominated sorting genetic algorithm (NSGA-II), and multi-objective particle swarm optimization (MOPSO) are applied, and their performance is evaluated using six metrics introduced in the literature. Finally, a bridge construction project is considered as a real case study. The findings show that considering the time value of money can prevent cost overrun in projects. Additionally, the results indicate that the MOGWO algorithm outperforms the NSGA-II and MOPSO algorithms.

Cost-reliability trade-off of path generating linkages using multi-objective genetic algorithm

2017 ◽  
Vol 11 (3/4) ◽  
pp. 200
Author(s):  
Kiran Kumar Bathula ◽  
Palaniappan Ramu ◽  
Prashanth Neelakantan ◽  
G. Saravana Kumar
Keyword(s):  
Genetic Algorithm ◽  
Trade Off ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Cost-reliability trade-off of path generating linkages using multi-objective genetic algorithm

2017 ◽  
Vol 11 (3/4) ◽  
pp. 200
Author(s):  
Palaniappan Ramu ◽  
G. Saravana Kumar ◽  
Prashanth Neelakantan ◽  
Kiran Kumar Bathula
Keyword(s):  
Genetic Algorithm ◽  
Trade Off ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm
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