Selected AI optimization techniques and applications in geotechnical engineering
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …
earth system, the need to employ technologies to substitute those engineering practices …
Particle swarm optimization variants for solving geotechnical problems: review and comparative analysis
Optimization techniques have drawn much attention for solving geotechnical engineering
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …
Design of reinforced concrete cantilever retaining wall using Grey wolf optimization algorithm
The purpose of this article to design a low-weight cantilever reinforced concrete retaining
wall with shear key by using an optimization algorithm, which is programmed in MATLAB …
wall with shear key by using an optimization algorithm, which is programmed in MATLAB …
Adaptive-hybrid harmony search algorithm for multi-constrained optimum eco-design of reinforced concrete retaining walls
In the optimum design of reinforced concrete (RC) structural members, the robustness of the
employed method is important as well as solving the optimization problem. In some cases …
employed method is important as well as solving the optimization problem. In some cases …
Optimization in civil engineering and metaheuristic algorithms: a review of state-of-the-art developments
The aim of this state-of-the-art review is to present the recent progress about the design
optimization and applications of metaheuristic algorithms in civil engineering. In this chapter …
optimization and applications of metaheuristic algorithms in civil engineering. In this chapter …
Optimal design of reinforced concrete cantilever retaining walls utilizing eleven meta-heuristic algorithms: a comparative study
In this paper, optimum design of reinforced concrete cantilever retaining walls is performed
under static and dynamic loading conditions utilizing eleven population-based meta …
under static and dynamic loading conditions utilizing eleven population-based meta …
Cost-based optimum design of reinforced concrete retaining walls considering different methods of bearing capacity computation
This paper investigates the effect of computing the bearing capacity through different
methods on the optimum construction cost of reinforced concrete retaining walls (RCRWs) …
methods on the optimum construction cost of reinforced concrete retaining walls (RCRWs) …
Rao-3 algorithm for the weight optimization of reinforced concrete cantilever retaining wall
EN Kalemci - Geomechanics and Engineering, 2020 - koreascience.kr
The paper represents an optimization algorithm for reinforced concrete retaining wall
design. The proposed method, called Rao-3 optimization algorithm, is a recently developed …
design. The proposed method, called Rao-3 optimization algorithm, is a recently developed …
Probabilistic analysis of gravity retaining wall against bearing failure
Abstract Machine learning (ML) models have been extensively used in the stability check of
gravity retaining wall. They are renowned as the most capable methods for predicting factor …
gravity retaining wall. They are renowned as the most capable methods for predicting factor …
[HTML][HTML] Multiparametric analysis of a gravity retaining wall
R Varga, B Žlender, P Jelušič - Applied Sciences, 2021 - mdpi.com
The design of a gravity retaining wall should be simple to construct, quick to build and the
best economic solution to a problem. This can be achieved by using advanced optimization …
best economic solution to a problem. This can be achieved by using advanced optimization …