A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
In this study, a coupled multi-layer perceptrons (MLP) model with an artificial rabbits
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
A new metaheuristic algorithm: Shrimp and Goby association search algorithm and its application for damage identification in large-scale and complex structures
This paper presents the application of a new Shrimp and Goby Association Search algorithm
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
Predicting solar distiller productivity using an AI Approach: Modified genetic algorithm with Multi-Layer Perceptron
Abstract Solar Stills (SSs) are an eco-friendly and efficient approach to generating drinking
water from brackish or saline sources. In this paper, a novel model for predicting the …
water from brackish or saline sources. In this paper, a novel model for predicting the …
Metamodel-assisted hybrid optimization strategy for model updating using vibration response data
In this study, an effective and novel method, termed Metamodel Assisted Hybrid of Particle
Swarm Optimization with Genetic Algorithm (MA-HPSOGA), is developed to identify …
Swarm Optimization with Genetic Algorithm (MA-HPSOGA), is developed to identify …
A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural …
In this paper, a new method has been proposed to optimize the hyper parameters in Deep
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
An integrated surrogate model-driven and improved termite life cycle optimizer for damage identification in dams
Abstract Structural Damage Identification (SDI) is a crucial branch in the field of structural
health monitoring, providing an essential support for the safe operation of structures. In this …
health monitoring, providing an essential support for the safe operation of structures. In this …
Inverse analysis of structural damage based on the modal kinetic and strain energies with the novel oppositional unified particle swarm gradient-based optimizer
Structural damage inspection is a key structural engineering technique that strives for
ensuring structural safety. In this regard, one of the major intelligent approaches is the …
ensuring structural safety. In this regard, one of the major intelligent approaches is the …
Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake
Concrete surface cracks are one of the primary indicators of structural deterioration; thus,
crack analysis is crucial to maintain the intact serviceability of the structural components …
crack analysis is crucial to maintain the intact serviceability of the structural components …
Innovative ANN hysteresis to predict hysteretic performance of composite reinforced concrete beam
This article assess the precise estimation of the hysteresis loop of reinforced concrete (RC)
beams in distinct failure cases to verify inelastic seismic beam function. Any test failure in RC …
beams in distinct failure cases to verify inelastic seismic beam function. Any test failure in RC …
The Differential Evolution Algorithm: An Analysis of More than Two Decades of Application in Structural Damage Detection (2001–2022)
Vibration-based structural damage detection methods using optimization techniques have
increased extensively in recent decades due to the rapid development of swarm intelligence …
increased extensively in recent decades due to the rapid development of swarm intelligence …