A Novel Resource-Leveling Approach for Construction Project Based on Differential Evolution

Tran, Hong-Hai; Hoang, Nhat‐Duc

doi:10.1155/2014/648938

Cited by 10 publications

(8 citation statements)

References 22 publications

(27 reference statements)

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“…It is observable that the DeLOCP with the mutation strategy of DE/Target-to-Best/1 and Hybrid DE/Rand/1 and DE/Best/1 have produced the best solution: fitness function = 3054 (with average labor demand = 13.8, maximum labor demand = 16.0, minimum labor demand = 12, and project duration = 32.0 (shift)). The optimized crew sizes and start times of all activities are [13,7,4,9,6,4,6,7,8,8,13] and [1,2,2,6,14,9,9,25,27,17,32], respectively. The optimized daily labor demand is illustrated in Figure 4.…”

Section: Resultsmentioning

confidence: 99%

“…In most practical situations, project resources are available in certain quantities and a fluctuated resource profile is proved to be very costly for the contractors [6,9]. Thus far, the most challenging problem in project planning is to achieve an optimal project execution which results in an appropriate resource utilization with fixed duration.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve a more even resource profile, noncritical activities are allowed to shift along available floating times. Moreover, different from previous works in resource leveling [9,32,33], the crew sizes of activities are also optimized. Such framework not only is more realistic but also can enhance the flexibility in project scheduling and potentially bring about better solutions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies

Hoang

Nguyen

Pham

2015

Advances in Civil Engineering

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In construction management, the task of planning project schedules with consideration of labor utilization is very crucial. However, the commonly used critical path method (CPM) does not inherently take into account this issue. Consequently, the labor utilization of the project schedule derived from the CPM method often has substantial low ebbs and high peaks. This research proposes a model to obtain project schedule with the least fluctuation in labor demand while still satisfying the project deadline and maintain the project cost. The Differential Evolution (DE), a fast and efficient metaheuristic, is employed to search for the most desirable solution of project execution among numerous combinations of activities’ crew sizes and start times. Furthermore, seven DE’s mutation strategies have also been employed for solving the optimization at hand. Experiment results point out that theTarget-to-Best 1and a new hybrid mutation strategy can attain the best solution of project schedule with the least fluctuation in labor demand. Accordingly, the proposed framework can be an effective tool to assist decision-makers in the project planning phase.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies

Hoang

Nguyen

Pham

2015

Advances in Civil Engineering

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“…In addition to the available algorithms for constructing and optimizing the calendar plans, mainly considered in the works of foreign authors [1][2][3][4][5][6][7][8][9][10], this article proposes a two-stage instrument that allows the General Contractor Organization to first isolate the permissible amount of work for transfer to the subcontractor balance, and then proceed to the formation of a calendar plan and resource schedules (Fig. 3).…”

Section: Fig 1 Scheme Of Production Planningmentioning

confidence: 99%

Optimization of the annual construction program solutions

Oleinik

Yurgaytis

2017

MATEC Web Conf.

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Abstract. The article considers potentially possible optimization solutions in scheduling while forming the annual production programs of the construction complex organizations. The optimization instrument is represented as a two-component system. As a fundamentally new approach in the first block of the annual program solutions, the authors propose to use a scientifically grounded methodology for determining the scope of work permissible for the transfer to a subcontractor without risk of General Contractor's management control losing over the construction site. For this purpose, a special indicator is introduced that characterizes the activity of the general construction organization -the coefficient of construction production management. In the second block, the principal methods for the formation of calendar plans for the fulfillment of the critical work effort by the leading stream are proposed, depending on the intensity characteristic.

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“…These two terms, trial vector and child vector, can be used interchangeably. This selection process is performed via selection between the parent and the corresponding offspring [25,26].…”

Section: Differential Evolution the Differential Evolution (De)mentioning

confidence: 99%

NIDE: A Novel Improved Differential Evolution for Construction Project Crashing Optimization

Hoang

2014

Journal of Construction Engineering

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In the field of construction management, project crashing is an approach to shortening the project duration by reducing the duration of several critical project activities to less than their normal activity duration. The goal of crashing is to shorten the project duration while minimizing the crashing cost. In this research, a novel method for construction project crashing is proposed. The method is named as novel improved differential evolution (NIDE). The proposed NIDE is developed by an integration of the differential evolution (DE) and a new probabilistic similarity-based selection operator (PSSO) that aims at improving the DE’s selection process. The PSSO has the role as a scheme for preserving the population diversity and fending off the premature convergence. The experimental result has demonstrated that the newly established NIDE can successfully escape from local optima and achieve a significantly better optimization performance.

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A Novel Resource-Leveling Approach for Construction Project Based on Differential Evolution

Cited by 10 publications

References 22 publications

Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies

Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies

Optimization of the annual construction program solutions

NIDE: A Novel Improved Differential Evolution for Construction Project Crashing Optimization

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