Multiheuristic Approach for Resource Leveling Problem in Construction Engineering: Hybrid Approach

Son, Jaeho; Skibniewski, Mirosław J.

doi:10.1061/(asce)0733-9364(1999)125:1(23)

Cited by 78 publications

(50 citation statements)

References 6 publications

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“…Over the last 30 years, many researchers studied the resource-leveling problem in construction projects. Thorough reviews of these studies could be found in many publications [3,9,10].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary resource scheduler for linear projects

Georgy

2008

Automation in Construction

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“…Over the last 30 years, many researchers studied the resource-leveling problem in construction projects. Thorough reviews of these studies could be found in many publications [3,9,10].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary resource scheduler for linear projects

Georgy

2008

Automation in Construction

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“…Evolutionary and genetic algorithms (EAs/GAs) [39,40] and simulated annealing (SA) [41] are the most popular metaheuristic methods for solving the RLP. Hybrid methods are presented by Son and Skibniewski [41], and by Alsayegh & Hariga [42], with a new approach for the RLP which considers the cost of splitting the non-critical activities and combines the particle swarm optimization (PSO) and simulated annealing (SA) methods.…”

Section: Metaheuristic Algorithmsmentioning

confidence: 99%

“…Hybrid methods are presented by Son and Skibniewski [41], and by Alsayegh & Hariga [42], with a new approach for the RLP which considers the cost of splitting the non-critical activities and combines the particle swarm optimization (PSO) and simulated annealing (SA) methods. A hyperheuristic approach implemented within commercial project management software has been proposed by Koulinas and Anagnostopoulus [43].…”

Section: Metaheuristic Algorithmsmentioning

confidence: 99%

The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm

Ponz-Tienda

Piqueras

Pellicer

et al. 2013

Automation in Construction

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THE RESOURCE LEVELING PROBLEM WITH MULTIPLE RESOURCES USING AN ADAPTIVE GENETIC ALGORITHMPonz-Tienda, J.L.Yepes, V.Pellicer, E.Moreno-Flores, J. Title Page THE RESOURCE LEVELING PROBLEM WITH MULTIPLE RESOURCES USING AN ADAPTIVE GENETIC ALGORITHM AbstractResources management ensures that a project is completed on time and at cost, and that its quality is as previously defined; nevertheless, resources are scarce and their use in the activities of the project leads to conflicts in the schedule. Resource leveling problems consider how to make the resource consumption as efficient as possible. This paper presents a new Adaptive Genetic Algorithm for the Resource Leveling Problem with multiple resources, and its novelty lies in using the Weibull distribution to establish an estimation of the global optimum as a termination condition. The extension of the project deadline with a penalty is allowed, avoiding the increase in the project criticality punishing the shift of activities. The algorithm is tested with the standard Project Scheduling Problem Library PSPLIB, and a complete analysis and benchmarking test instances are presented. The proposed algorithm is implemented using VBA for Excel 2010 in order to provide a flexible and powerful decision support system that enables practitioners to choose between different feasible solutions to a problem, and in addition it is easily adjustable to the constraints and particular needs of each project in realistic environments.

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“…A genetic algorithm-based multi-resources leveling model is established in the literature [7]. A kind model with simulated annealing method is presented to solve such problems in the literature [8]. These above studies are all based on the assumption that resource intensity of activity can not change, but in some cases, this assumption is unreasonable.…”

Section: Introductionmentioning

confidence: 99%

Analysis of multi-resources leveling problem with changeable resource intensity

Guo

2010

2010 IEEE International Conference on Mechatronics and Automation

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A new kind of multi-resources leveling model with changeable resource intensity is presented in this paper. Prolonging of activity duration is allowed in order to decrease resource intensity of activity in this model. A dimensionless variable named as duration prolonging rate is introduced to show the prolonged degree of activity duration. Time constraints among activities can be automatically satisfied with the help of this variable during the whole calculation process. Thus, infeasible solutions can be avoided. Moreover, the model can realize the same function as conventional models with unchangeable resource intensity and can fit the instance allowing unchangeable resource intensity of some special activities. Finally, the validity of the model in this paper is verified with the help of genetic algorithm.

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Multiheuristic Approach for Resource Leveling Problem in Construction Engineering: Hybrid Approach

Cited by 78 publications

References 6 publications

Evolutionary resource scheduler for linear projects

Evolutionary resource scheduler for linear projects

The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm

Analysis of multi-resources leveling problem with changeable resource intensity

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