Optimizing Retaining Walls through Reinforcement Learning Approaches and Metaheuristic Techniques

José Lemus-Romani, Diego Ossandón, Rocío Sepúlveda, Nicolás Carrasco-Astudillo, Victor Yepes and José García ()
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José Lemus-Romani: Pontificia Universidad Católica de Chile, Facultad de Ingeniería, Escuela de Construcción Civil, Santiago 7820436, Chile
Diego Ossandón: Pontificia Universidad Católica de Valparaíso, Facultad de Ingeniería, Escuela de Ingeniería de Construcción y Transporte, Valparaíso 2362807, Chile
Rocío Sepúlveda: Pontificia Universidad Católica de Valparaíso, Facultad de Ingeniería, Escuela de Ingeniería de Construcción y Transporte, Valparaíso 2362807, Chile
Nicolás Carrasco-Astudillo: Pontificia Universidad Católica de Chile, Facultad de Ingeniería, Escuela de Construcción Civil, Santiago 7820436, Chile
Victor Yepes: Universitat Politècnica de València, Institute of Concrete Science and Technology (ICITECH), 46022 València, Spain
José García: Pontificia Universidad Católica de Valparaíso, Facultad de Ingeniería, Escuela de Ingeniería de Construcción y Transporte, Valparaíso 2362807, Chile

Mathematics, 2023, vol. 11, issue 9, 1-33

Abstract: The structural design of civil works is closely tied to empirical knowledge and the design professional’s experience. Based on this, adequate designs are generated in terms of strength, operability, and durability. However, such designs can be optimized to reduce conditions associated with the structure’s design and execution, such as costs, CO 2 emissions, and related earthworks. In this study, a new discretization technique based on reinforcement learning and transfer functions is developed. The application of metaheuristic techniques to the retaining wall problem is examined, defining two objective functions: cost and CO 2 emissions. An extensive comparison is made with various metaheuristics and brute force methods, where the results show that the S-shaped transfer functions consistently yield more robust outcomes.

Keywords: metaheuristics; concrete retaining walls (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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