Affiliations: Department of Architecture and Civil Engineering, Zhengzhou Urban Construction Vocational College, Zhengzhou, Henan, China | E-mail: hufengyu2020@126.com
Correspondence:
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Corresponding author: Department of Architecture and Civil Engineering, Zhengzhou Urban Construction Vocational College, Zhengzhou, Henan, China. E-mail: hufengyu2020@126.com.
Abstract: Sustainable and environmentally friendly construction is the way of the future for building projects, and it is a practical illustration of how sustainable development is being implemented in the construction sector, where the control objectives are interdependent and constricting. However, when green construction is carried out, a conundrum arises since important factors like cost, environmental preservation, and safety cannot be addressed simultaneously. This issue limits the promotion of green construction. In order to solve the obstacles in the green construction process, the study chose to introduce three objectives to establish a multi-objective optimization model for project optimization. The local search idea in the mountain climbing algorithm was introduced into the non controlled sorting genetic algorithm to improve it, and a green construction multi-objective optimization model was established. Experimental verification of the feasibility and efficiency of improving non controlled sorting genetic algorithms; And evaluate and solve the established sustainable construction project. The results represent the maximum optimization values for each objective. The construction period is mainly distributed between 183–245 days, the cost distribution is between 16.6855 million yuan and 200861 million yuan, the quality distribution is between 0.864 and 0.878, the safety distribution is between 0.874 and 0.999, the environmental distribution is between 133.76 and 190.72, and the resource distribution is between 0.834 and 0.999, all of which meet the standards. Provide theoretical solutions for managers to manage green construction projects.
