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Utilizing artificial intelligence to solving time – cost – quality trade-off problem

Authors :
Vu Hong Son Pham
Luu Ngoc Quynh Khoi
Source :
Scientific Reports. 12
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

This study presents the Slime Mold Algorithm (SMA) to solve the time—cost—quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution to process the input model’s data. This paper aims to discuss and solve the optimization problem and compare the evaluation with other algorithms such as Opposition-based Multiple Objective Differential Evolution, Non-dominated sorting genetic algorithm, Multiple objective particle swarm optimization, Multiple objective differential evolution and Chaotic initialized multiple objective differential evolution (CAMODE) to verify the efficiency and potential of the proposed algorithm. According to the analysis results, the SMA model generated a diversification measure for case studies, producing superior outcomes to those of previous algorithms.

Details

ISSN :
20452322
Volume :
12
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....e7c4fa552ec97950733c24ef67b57ad3