Journal ArticleDOI
Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution
TLDR
This study is expected to provide an alternative solving methodology for the TCQT problem and help project manager plan construction methods with optimal time-cost-quality tradeoff and verify the efficiency and effectiveness of the proposed algorithm.Abstract:
The time, cost and quality are crucial, conflicting aspects to construction project management. Tradeoff optimization among project duration (time), project cost, and the project quality within the...read more
Citations
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Risk Management in Engineering and Construction: A Case Study in Design-Build Projects in Vietnam
TL;DR: In this paper, the authors present the critical risk factors for design-build projects in the construction industry, and identify and manage these risk factors will help projects succeed and will increase the confidence of owners and contractors who seek to use the DB contract form.
Journal ArticleDOI
Latin hypercube sampling-based NSGA-III optimization model for multimode resource constrained time–cost–quality–safety trade-off in construction projects
Kamal Sharma,M. K. Trivedi +1 more
TL;DR: A large number of researchers have paid significant amount of attention for the development of time-cost, time- cost-quality and time–cost–safety trade-off optimization models, but there is still a need to improve the quality and efficiency of these models.
Journal ArticleDOI
Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction
TL;DR: In this article, the authors proposed a hybrid cooperative co-evolution algorithm (HCOEA) to obtain the highly robust project scheduling, reduce the impact of the uncertainty of the execution time of the activity on the overall project.
Journal ArticleDOI
Application of BIM and 3D Laser Scanning for Quantity Management in Construction Projects
TL;DR: It is proposed that adopting a BIM model and 3D laser scanning has the potential to improve the accuracy and efficiency of the quantity management process.
Journal ArticleDOI
Competency Gap in the Labor Market: Evidence from Vietnam
TL;DR: In this article, the authors explored the competency gap in the labor market in Vietnam from the perspective of employees who have been dissatisfied with the current status by applying the advance quantitative method, namely, best non-fuzzy performance approach.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
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Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
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Differential Evolution: A Survey of the State-of-the-Art
TL;DR: A detailed review of the basic concepts of DE and a survey of its major variants, its application to multiobjective, constrained, large scale, and uncertain optimization problems, and the theoretical studies conducted on DE so far are presented.
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Performance assessment of multiobjective optimizers: an analysis and review
TL;DR: This study provides a rigorous analysis of the limitations underlying this type of quality assessment in multiobjective evolutionary algorithms and develops a mathematical framework which allows one to classify and discuss existing techniques.