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Fuzzy clustering chaotic-based differential evolution for resource leveling in construction projects

    Min-Yuan Cheng Affiliation
    ; Duc-Hoc Tran Affiliation
    ; Nhat-Duc Hoang Affiliation

Abstract

 Project scheduling is an important part of project planning in many management companies. Resource lev­eling problem describes the process of reducing the fluctuations in resource usage over the project duration. The goal of resource leveling is to minimize the incremental demands that cause fluctuations of resources, and thus avoid unde­sirable cyclic hiring and firing during project execution. In this research, a novel optimization model, named as Fuzzy Clustering Chaotic-based Differential Evolution for solving Resource leveling (FCDE-RL), is introduced. Fuzzy Cluster­ing Chaotic-based Differential Evolution (FCDE) is developed by integrating original Differential Evolution with fuzzy c-means clustering and chaotic techniques to tackle complex optimization problems. Chaotic was exploited to prevent the optimization algorithm from premature convergence. Meanwhile, fuzzy c-means clustering acts as several multi-par­ent crossover operators to utilize the information of the population efficiently to enhance the convergence. Experimental results revealed that the new optimization model is a promising alternative to assist project managers in dealing with construction project resource leveling.


First published online: 13 Jul 2016

Keyword : resource levelling, fuzzy clustering, chaotic, differential evolution, construction management

How to Cite
Cheng, M.-Y., Tran, D.-H., & Hoang, N.-D. (2017). Fuzzy clustering chaotic-based differential evolution for resource leveling in construction projects. Journal of Civil Engineering and Management, 23(1), 113-124. https://doi.org/10.3846/13923730.2014.982699
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Jan 19, 2017
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This work is licensed under a Creative Commons Attribution 4.0 International License.