Stimating and optimizing safety factors of retaining wall through neural network and bee colony techniques

• Main Authors: Gordan, Behrouz, Koopialipoor, Mohammadreza, Clementking, A., Tootoonchi, Hossein, Mohamad, Edy Tonnizam
• Format: Article
• Published: Springer Nature Switzerland AG 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/88057/; http://dx.doi.org/10.1007/s00366-018-0642-2

An important task of geotechnical engineering is a suitable design of safety factor (SF) of retaining wall under both static and dynamic conditions. This paper presents the advantages of both prediction and optimization of retaining wall SF through artificial neural network (ANN) and artificial bee...