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Journal ArticleDOI: 10.1080/15623599.2018.1526630

Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution

04 Mar 2021-The international journal of construction management (Informa UK Limited)-Vol. 21, Iss: 3, pp 271-283
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...

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30 results found


Open accessJournal ArticleDOI: 10.48084/ETASR.3286
Phong Thanh Nguyen1, Phu-Cuong Nguyen1Institutions (1)
Abstract: The constant demand for construction in developing countries like Vietnam causes more and more challenges and difficulties to Project Management Units (PMUs) in carrying projects to completion on schedule, with quality assurance and fewer costs. In order to do this, PMUs need to have better and tighter management tools and forms. However, in order to minimize risks during project implementation, the binding terms in contracts are also becoming stricter with more and more new forms of contracts. One of them is the design-build (DB) contract form. This paper presents the critical risk factors for design-build projects in the construction industry. Good identification and management of these risk factors will help projects succeed and will increase the confidence of owners and contractors who seek to use the design-build form.

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Topics: Construction management (59%), Risk management (58%), Project management (57%) ... show more

19 Citations


Open accessJournal ArticleDOI: 10.13106/JAFEB.2020.VOL7.NO8.197
Abstract: Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import.

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Topics: Consumer price index (61%), Price index (60%), Product (category theory) (51%) ... show more

11 Citations


Open accessJournal ArticleDOI: 10.13189/UJER.2020.080512
Abstract: E-learning success model is a crucial topic, especially in the context of the Fourth Industry with artificial intelligence and virtual reality in developing countries. In practice, it is a combination of technology and education; human and system form an integrated digital learning world. E-learning has many outstanding advantages in providing flexible training and equal education to everyone, which has dramatically changed the self-study process due to the ability to customize and effectively meet the learners' demands. However, e-learning is still inferior to traditional learning and teaching in recent years. This paper explores the key barriers to e-learning success based on multi-stakeholder perspectives. The Chang's Extent Analysis Method under fuzzy logic was applied to rank the components of e-learning success model in Vietnam by defining the key barriers to its development. The incorporation of fuzzy set theory in the Analytical Hierarchical Process is superior in representing human judgments. Seven criteria were selected after justifying the experts' opinions in the in-depth interviews. The findings revealed the important order of infrastructure and technology, human resources, setting, evaluation, management and execution, support and pedagogical aspect. The results are significant for the proper action plan to promote e-learning development under the resource constraint.

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Topics: Digital learning (55%), Ranking (51%), Action plan (51%)

10 Citations


Open accessJournal ArticleDOI: 10.1155/2020/8839923
Thu Anh Nguyen1, Thu Anh Nguyen2, Phong Thanh Nguyen3, Sy Tien Do2  +1 moreInstitutions (3)
Abstract: The construction industry has played an essential role in the process of modernization and industrialization and it has also been a major factor in determining the development of the infrastructure for other economic sectors. Construction companies consider the measurement of work progress, which often wastes time and has a low resolution, to be one of the most challenging problems faced by project management. Therefore, this research aimed to propose practical solutions by applying recent technological achievements of the 4.0 industrial revolution to improve the efficiency of the quantity management process. By utilizing the advantages and features of a BIM model and 3D laser scanning, this paper proposes that adopting a BIM model and 3D laser scanning has the potential to improve the accuracy and efficiency of the quantity management process. The case study demonstrated some typical tasks to evaluate accuracy and efficiency as well as to showcase the research proposal.

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Topics: Project management (54%), Management process (51%)

8 Citations


Open accessJournal ArticleDOI: 10.14569/IJACSA.2019.0100417
Abstract: This paper explored the education factors and ranked their impacts on the employees’ competencies development in Vietnam. Factors contributing to the employees’ competencies in the Vietnamese context are proposed based on the literature review under the justification of experts’ interviews. Then, the extended fuzzy analytical hierarchy process (EFAHP) approach was used to prioritize the importance of the factors affecting the employees’ competency. The research finding confirmed the decisive role of teachers with the greatest weight of impact on the employees’ competency, though there was a shift of teacher’s role to that of facilitator in the Fourth Industrial Revolution education.

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7 Citations


References
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54 results found


Journal ArticleDOI: 10.1109/4235.996017
Abstract: Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the number of objectives and N is the population size); (2) their non-elitism approach; and (3) the need to specify a sharing parameter. In this paper, we suggest a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties. Specifically, a fast non-dominated sorting approach with O(MN/sup 2/) computational complexity is presented. Also, a selection operator is presented that creates a mating pool by combining the parent and offspring populations and selecting the best N solutions (with respect to fitness and spread). Simulation results on difficult test problems show that NSGA-II is able, for most problems, to find a much better spread of solutions and better convergence near the true Pareto-optimal front compared to the Pareto-archived evolution strategy and the strength-Pareto evolutionary algorithm - two other elitist MOEAs that pay special attention to creating a diverse Pareto-optimal front. Moreover, we modify the definition of dominance in order to solve constrained multi-objective problems efficiently. Simulation results of the constrained NSGA-II on a number of test problems, including a five-objective, seven-constraint nonlinear problem, are compared with another constrained multi-objective optimizer, and the much better performance of NSGA-II is observed.

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Topics: Sorting (57%), Evolutionary algorithm (56%), Mating pool (56%) ... show more

30,928 Citations


Journal ArticleDOI: 10.1023/A:1008202821328
Rainer Storn1, Kenneth PriceInstitutions (1)
Abstract: A new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented. By means of an extensive testbed it is demonstrated that the new method converges faster and with more certainty than many other acclaimed global optimization methods. The new method requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.

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Topics: Continuous optimization (63%), Global optimization (58%), Random optimization (58%) ... show more

20,354 Citations


Journal ArticleDOI: 10.1109/4235.797969
Eckart Zitzler1, Lothar Thiele1Institutions (1)
Abstract: Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been developed that are capable of searching for multiple solutions concurrently in a single run. However, the few comparative studies of different methods presented up to now remain mostly qualitative and are often restricted to a few approaches. In this paper, four multiobjective EAs are compared quantitatively where an extended 0/1 knapsack problem is taken as a basis. Furthermore, we introduce a new evolutionary approach to multicriteria optimization, the strength Pareto EA (SPEA), that combines several features of previous multiobjective EAs in a unique manner. It is characterized by (a) storing nondominated solutions externally in a second, continuously updated population, (b) evaluating an individual's fitness dependent on the number of external nondominated points that dominate it, (c) preserving population diversity using the Pareto dominance relationship, and (d) incorporating a clustering procedure in order to reduce the nondominated set without destroying its characteristics. 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. Moreover, SPEA clearly outperforms the other four multiobjective EAs on the 0/1 knapsack problem.

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6,717 Citations


Journal ArticleDOI: 10.1109/TEVC.2010.2059031
Abstract: Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational steps as employed by a standard evolutionary algorithm (EA). However, unlike traditional EAs, the DE-variants perturb the current-generation population members with the scaled differences of randomly selected and distinct population members. Therefore, no separate probability distribution has to be used for generating the offspring. Since its inception in 1995, DE has drawn the attention of many researchers all over the world resulting in a lot of variants of the basic algorithm with improved performance. This paper presents 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. Also, it provides an overview of the significant engineering applications that have benefited from the powerful nature of DE.

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Topics: Evolutionary algorithm (57%), Evolutionary computation (55%), Population (54%) ... show more

3,661 Citations


Open accessJournal ArticleDOI: 10.1109/TEVC.2003.810758
Eckart Zitzler1, Lothar Thiele1, Marco Laumanns1, Carlos M. Fonseca2  +1 moreInstitutions (2)
Abstract: An important issue in multiobjective optimization is the quantitative comparison of the performance of different algorithms. In the case of multiobjective evolutionary algorithms, the outcome is usually an approximation of the Pareto-optimal set, which is denoted as an approximation set, and therefore the question arises of how to evaluate the quality of approximation sets. Most popular are methods that assign each approximation set a vector of real numbers that reflect different aspects of the quality. Sometimes, pairs of approximation sets are also considered. In this study, we provide a rigorous analysis of the limitations underlying this type of quality assessment. To this end, a mathematical framework is developed which allows one to classify and discuss existing techniques.

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3,184 Citations