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

Son Construction Engineering & Management Department, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University, 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, 700000, Viet Nam|
Luu Ngoc Quynh (57979735500) | Pham Vu Hong (56611605800); Khoi |

Scientific Reports Số 1, năm 2022 (Tập 12, trang -)

ISSN: 20452322

ISSN: 20452322

DOI: 10.1038/s41598-022-24668-7

Tài liệu thuộc danh mục:



Từ khóa: Algorithms; Artificial Intelligence; Cell Movement; Physarum polycephalum; Problem Solving; article; exploration exploitation tradeoff; genetic algorithm; particle swarm optimization; algorithm; artificial intelligence; cell motion; Physarum polycephalum; problem solving
Tóm tắt tiếng anh
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. © 2022, The Author(s).

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