Population-based optimization in structural engineering: a review

AR Kashani, CV Camp, M Rostamian, K Azizi… - Artificial Intelligence …, 2022 - Springer
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

Selected AI optimization techniques and applications in geotechnical engineering

KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
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 …

An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures

E Momeni, A Yarivand, MB Dowlatshahi… - Transportation …, 2021 - Elsevier
The deformation of a Geosynthetic reinforced soil (GRS) structure is a key factor in designing
this type of retaining structures. On the other hand, the feasibility of artificial intelligence …

A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls

EN Ghaleini, M Koopialipoor, M Momenzadeh… - Engineering with …, 2019 - Springer
This paper presents intelligent models for solving problems related to retaining walls in
geotechnics. To do this, safety factors of 2800 retaining walls were modeled and recorded …

Particle swarm optimization variants for solving geotechnical problems: review and comparative analysis

AR Kashani, R Chiong, S Mirjalili… - Archives of Computational …, 2021 - Springer
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 …

Design of reinforced concrete cantilever retaining wall using Grey wolf optimization algorithm

EN Kalemci, SB İkizler, T Dede, Z Angın - Structures, 2020 - Elsevier
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 …

An efficient double-loop reliability-based optimization with metaheuristic algorithms to design soil nail walls under uncertain condition

S Shirgir, A Shamsaddinlou, RN Zare… - Reliability Engineering & …, 2023 - Elsevier
One of the applicable methods for stabilizing soil walls is the nailing system consisting of
tensile struts. The stability and safety of soil nail wall systems are affected by the geometrical …

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

B Gordan, M Koopialipoor, A Clementking… - Engineering with …, 2019 - Springer
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 …

Optimum design of reinforced concrete retaining walls with the flower pollination algorithm

PE Mergos, F Mantoglou - Structural and Multidisciplinary Optimization, 2020 - Springer
The flower pollination algorithm (FPA) is an efficient metaheuristic optimization algorithm
mimicking the pollination process of flowering species. In this study, FPA is applied, for the …

The use of new intelligent techniques in designing retaining walls

M Koopialipoor, BR Murlidhar, A Hedayat… - Engineering with …, 2020 - Springer
The stability of retaining walls against overturning is analyzed in this study using artificial
intelligence methods. Five input parameters including wall height, wall thickness, soil friction …