Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm

Construction and Building Materials(2020)

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摘要
•Gathering a database for the compressive strength of concrete with GGBFS.•Modeling the compressive strength of concrete with GGBFS using machine learning.•Hybridization of ANN and multi-objective salp swarm algorithm.•Using M5P model tree to model the concrete compressive strength with GGBFS.
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关键词
Concrete compressive strength,Ground granulated blast furnace slag,Artificial neural network,Multi-objective optimization,Salp swarm algorithm,M5P model tree
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