Hybrid PSO and GA approach for optimizing surveyed asphalt pavement inspection units in massive network
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- 作者：Ashkan Allahyari Nika ; ashkan.allahyari89@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Fereidoon Moghadas Nejadb ; moghadas@aut.ac.ir" class="auth_mail" title="E-mail the corresponding author ; H. Zakeric ; h-zakeri@aut.ac.ir" class="auth_mail" title="E-mail the corresponding author
- 关键词：Pavement inspection ; Pavement condition ; Massive network ; Hybrid PSO and GA ; Optimal arrangement of surveyed inspection units
- 刊名：Automation in Construction
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：71
- 期：part_P2
- 页码：325-345
- 全文大小：4545 K
文摘
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A hybrid data mining method is proposed for the analysis of large sets of pavement management systems data.
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An optimal arrangement method of surveyed inspection units to minimize inspection errors is developed.
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Hybrid particle swarm optimization- and genetic algorithm-based methods are considered to obtain optimal results.
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Application of the hybrid method is presented at network, project and section levels.