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An intelligent fuzzy-based hybrid metaheuristic algorithm for analysis the strength, energy and cost optimization of building material in construction management

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Abstract

Optimization is one of the oldest sciences or practices. Since the beginning of mankind, people strived for perfection when it came to their creations, products, gains, or self-improvement. Extension of activities and their cost, time, and resource limitations have caused researchers to pay their attention to optimizing the activities in construction management engineering. Rapid development in optimization techniques to solve related problems in structural design can be achieved accordingly. In this paper, meta-heuristic algorithms used for strength, energy, and cost optimization of building material in construction management. The novel meta-heuristic algorithm can be used for electricity cost and peak load alleviation with the minimum user waiting time. The proposed model is implemented in a smart building in terms of electricity cost estimation for both a single smart home and a smart building. The results demonstrate the effectiveness of our proposed scheme for single and multiple smart homes in terms of strength, energy, and cost optimization of building material in construction management engineering. This study has used the artificial intelligence (AI) model as particle swarm optimization (PSO) model to calculate the accurate and material-specific energy of three commonly used building materials as fly ash, copper slag, and phospo-gypsum. Two regression models as root mean square (RMSE) and coefficient of determination (R2) were used to calculate the results. Following the results of (R2) and RMSE, PSO has shown its higher performance in predicting the strength, energy, and cost of building materials besides revealing a significant and positive correlation among them.

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Notes

  1. Commonwealth Scientific and Industrial Research Organization.

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  1. Zhejiang Tongji Vocational College of Science and Technology, Zhejiang, 311231, China

    Song Ronghui

  2. China United Engineering Corporation Limited, Hangzhou, 310052, China

    Ni Liangrong

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Ronghui, S., Liangrong, N. An intelligent fuzzy-based hybrid metaheuristic algorithm for analysis the strength, energy and cost optimization of building material in construction management. Engineering with Computers 38 (Suppl 4), 2663–2680 (2022). https://doi.org/10.1007/s00366-021-01420-9

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