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• W4317806633 startingPage "1333" @default.
• W4317806633 abstract "Every project manager deals with various challenges, and almost all tasks have backup plans to ensure efficient success. Therefore, it is essential to manage resources, notably in terms of time, cost, quality, and environmental impact, and this needs to be thoroughly shown. As a result, the adaptive selection slime mold algorithm (ASSMA) is proposed for repetitive projects due to multiple concurrent instances. It is made by merging the tournament selection (TS) method and the slime mold algorithm (SMA) model. The new model’s capabilities are demonstrated using a case study of a rural water pipeline project, and the outcomes of the ASSMA are contrasted with those of the data envelopment analysis (DEA) approach utilized by the previous researcher. Consequently, the ASSMA technique is an effective optimization matching method that can help project managers select the best strategy for a given activity. This study is anticipated to expand significantly and outperform other models by utilizing quality performance metrics." @default.
• W4317806633 created "2023-01-24" @default.
• W4317806633 creator A5047136527 @default.
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• W4317806633 date "2023-01-23" @default.
• W4317806633 modified "2023-09-28" @default.
• W4317806633 title "Building projects with time–cost–quality–environment trade-off optimization using adaptive selection slime mold algorithm" @default.
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• W4317806633 doi "https://doi.org/10.1007/s42107-023-00572-x" @default.
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