Particle swarm optimization algorithm and its applications: a systematic review

AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Particle swarm optimization: A comprehensive survey

TM Shami, AA El-Saleh, M Alswaitti, Q Al-Tashi… - Ieee …, 2022 - ieeexplore.ieee.org
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems

SB Joseph, EG Dada, A Abidemi, DO Oyewola… - Heliyon, 2022 - cell.com
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Application of machine learning in anaerobic digestion: Perspectives and challenges

IA Cruz, W Chuenchart, F Long, KC Surendra… - Bioresource …, 2022 - Elsevier
Anaerobic digestion (AD) is widely adopted for remediating diverse organic wastes with
simultaneous production of renewable energy and nutrient-rich digestate. AD process …

Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study

M Parsajoo, DJ Armaghani, AS Mohammed… - Transportation …, 2021 - Elsevier
Tensile strength of rock plays a significant role in the design of tunnels and underground
engineering projects. Due to the inefficiency of direct method in determining rock tensile …

35 Years of (AI) in geotechnical engineering: state of the art

AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

Review on applications of particle swarm optimization in solar energy systems

AH Elsheikh, M Abd Elaziz - International Journal of Environmental …, 2019 - Springer
Solar energy is one of the most important factors used in the development of the countries.
Since it is a renewable energy source, it reduces the demand on the non-renewable energy …

Slope stability classification under seismic conditions using several tree-based intelligent techniques

PG Asteris, FIM Rizal, M Koopialipoor, PC Roussis… - Applied Sciences, 2022 - mdpi.com
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms
for slope failures, and design slopes with optimal safety and reliability. Before the …

[PDF][PDF] Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber

DJ Armaghani, F Mirzaei, M Shariati, NT Trung… - Geomech …, 2020 - researchgate.net
Soil shear strength parameters play a remarkable role in designing geotechnical structures
such as retaining wall and dam. This study puts an effort to propose two accurate and …

A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm

J Huang, PG Asteris, S Manafi Khajeh Pasha… - Engineering with …, 2022 - Springer
The main focus of the present work is to offer an auto-tuning model, called cat swarm
optimization (CSO), to predict rock fragmentation. This population-based method has a …