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Optimization of Ecological and Economic Aspects of the Construction Schedule with the Use of Metaheuristic Algorithms and Artificial Intelligence

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  • Janusz Kulejewski

    (Civil Engineering Faculty, Warsaw University of Technology, Armii Ludowej 16, 00-637 Warszawa, Poland)

  • Jerzy Rosłon

    (Civil Engineering Faculty, Warsaw University of Technology, Armii Ludowej 16, 00-637 Warszawa, Poland)

Abstract

Construction projects play a vital role in shaping the built environment and have a significant impact on the natural environment and economies around the world. The decisions made during the planning and execution stages of a project can have long-lasting implications for its environmental and economic performance. It is, therefore, essential to consider these factors carefully and make informed decisions that align with sustainable development goals. One way to achieve this is by using metaheuristic algorithms and artificial intelligence tools to optimize and reconcile sustainable development and economic parameters in construction project scheduling. By doing so, one can improve the overall efficiency and effectiveness of the construction process, while also contributing to the well-being of the communities in which these projects are located. In this article, authors propose a new ecological indicator that can be used to evaluate the sustainability of construction projects and provide a case study to illustrate its application. The authors’ findings and conclusions highlight the importance of using advanced analytical techniques to optimize the sustainability and economic performance of construction projects and suggest potential avenues for future research.

Suggested Citation

  • Janusz Kulejewski & Jerzy Rosłon, 2023. "Optimization of Ecological and Economic Aspects of the Construction Schedule with the Use of Metaheuristic Algorithms and Artificial Intelligence," Sustainability, MDPI, vol. 15(1), pages 1-26, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:1:p:890-:d:1024291
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    References listed on IDEAS

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    1. Ke Wang & Ziyi Ying & Shankha Shubhra Goswami & Yongsheng Yin & Yafei Zhao, 2023. "Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment," Sustainability, MDPI, vol. 15(15), pages 1-42, August.

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