Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes

By A. Kashani, Amir H. Gandomi, Mehdi Mousavi. 2016

80 citations recorded by the source corpus.

Abstract In this study, Imperialistic Competitive Algorithm (ICA) is utilized for locating the critical failure surface and computing the factor of safety (FOS) in a slope stability analysis based on the limit equilibrium approach. The factor of safety relating to each trial slip surface is calculated using a simplified algorithm of the Morgenstern-Price method, which satisfies both the force and the moment equilibriums. General slip surface is considered non-circular in this study that is constituted by linking random straight lines. To explore the performance of the proposed algorithm, four benchmark test problems are analyzed. The results demonstrate that the present techniques can provide reliable, accurate and efficient solutions for locating the critical failure surface and relating FOS. Moreover, in contrast with previous studies the present algorithm could reach the lower value of FOS and reached more exact solutions.

Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/8679efcc849fbc567d55d9ea0f42c4bc5dd90ff7

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Citations in the corpus

Metaheuristic research: a comprehensive survey (2018, methodology): “…Water Cycle Algorithm (Sadollah et al. 2015) WDO Wind Driven Optimization (Bayraktar et al. 2010) WEO Water Evaporation Optimization (Kaveh and Bakhshpoori 2016) WFA Water Flow-like Algorithm (Yang and Wang 2007) WPA Wolf Pack Algorithm (Wu and Zhang 2014) WS Warping Search (Gonçalves et…”