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Research Article

A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression

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Article: 2147672 | Received 18 Apr 2022, Accepted 09 Nov 2022, Published online: 29 Nov 2022

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Read on this site (2)

Amirhossein Fani, Amir Golroo, Mohammadsadegh Fahmani, Hamed Naseri & Fereidoon Moghadas Nejad. (2023) Analysis of the pavement deterioration uncertainty scenarios on pavement maintenance and rehabilitation planning optimization. Structure and Infrastructure Engineering 0:0, pages 1-18.
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Mohammad Shokoohi, Amir Golroo & Abdollah Ardeshir. (2023) Pavement maintenance planning using a risk-based approach and fault tree analysis. International Journal of Pavement Engineering 24:2.
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Articles from other publishers (13)

Hamed Naseri, Amirreza Aliakbari, Mahdie Asl Javadian, Alireza Aliakbari & E.O.D. Waygood. (2024) A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation. Case Studies in Construction Materials 20, pages e03037.
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Xunqian Xu, Siwen Wang, Fengyi Kang, Shue Li, Qi Li & Tao Wu. (2024) Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number. Sustainability 16:7, pages 2787.
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Mehrdad Ehsani, Mobin Ostovari, Shoaib Mansouri, Hamed Naseri, Hamid Jahanbakhsh & Fereidoon Moghadas Nejad. (2024) Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection. Construction and Building Materials 417, pages 135331.
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Behrouz Mehdizadeh Khorrami, Alireza Soleimani, Anna Pinnarelli, Giovanni Brusco & Pasquale Vizza. (2023) Correction: Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators. Asian Journal of Civil Engineering 25:2, pages 2349-2351.
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Behrouz Mehdizadeh Khorrami, Alireza Soleimani, Anna Pinnarelli, Giovanni Brusco & Pasquale Vizza. (2023) Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators. Asian Journal of Civil Engineering 25:2, pages 1163-1177.
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Tiago Tamagusko & Adelino Ferreira. (2023) Machine Learning for Prediction of the International Roughness Index on Flexible Pavements: A Review, Challenges, and Future Directions. Infrastructures 8:12, pages 170.
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Hamed Naseri, Mohammad Shokoohi, Hamid Jahanbakhsh, Mohammad M Karimi & E.O.D. Waygood. (2023) Novel Soft-Computing Approach to Better Predict Flexible Pavement Roughness. Transportation Research Record: Journal of the Transportation Research Board 2677:10, pages 246-259.
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Li Wang. (2023) Estimating high-performance concrete compressive strength with support vector regression in hybrid method. Multiscale and Multidisciplinary Modeling, Experiments and Design.
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Hossein Moayedi, Marjan Salari, Atefeh Ahmadi Dehrashid & Binh Nguyen Le. (2023) Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain. Stochastic Environmental Research and Risk Assessment 37:8, pages 2961-2976.
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Sadegh Ghavami, Zeynab Alipour, Hamed Naseri, Hamid Jahanbakhsh & Mohammad M. Karimi. (2023) A New Ensemble Prediction Method for Reclaimed Asphalt Pavement (RAP) Mixtures Containing Different Constituents. Buildings 13:7, pages 1787.
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Hossein Moayedi, Hasan Yildizhan, Mohammed Al-Bahrani & Bao Le Van. (2023) Appraisal of energy loss reduction in green buildings using large-scale experiments compiled with swarm intelligent solutions. Sustainable Energy Technologies and Assessments 57, pages 103215.
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Zhishan Zheng, Lin Zhou, Han Wu & Lihong Zhou. (2023) Construction cost prediction system based on Random Forest optimized by the Bird Swarm Algorithm. Mathematical Biosciences and Engineering 20:8, pages 15044-15074.
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Hamed Naseri, Edward Owen Douglas Waygood, Bobin Wang & Zachary Patterson. (2022) Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters. International Journal of Environmental Research and Public Health 19:24, pages 16844.
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