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 …
W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is proposed in this work to solve optimization problems. The AHA algorithm simulates the …
EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
J Nayak, H Swapnarekha, B Naik, G Dhiman… - … Methods in Engineering, 2023 - Springer
From the past few decades many nature inspired algorithms have been developed and gaining more popularity because of their effectiveness in solving problems of distinct …
A Altan, S Karasu - Chaos, solitons & fractals, 2020 - Elsevier
The novel coronavirus disease 2019 (COVID-19), detected in Wuhan City, Hubei Province, China in late December 2019, is rapidly spreading and affecting all countries in the world …
The hydrothermal liquefaction process has recently attracted more attention in biorefinery design and implementation because of its capability of handling various wet biomass …
M Abdel-Basset, D El-Shahat, M Jameel… - Artificial Intelligence …, 2023 - Springer
Numerous optimization problems can be addressed using metaheuristics instead of deterministic and heuristic approaches. This study proposes a novel population-based …
Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology to safeguard the integrity and availability of sensitive assets in the protected systems …
One of the major problems in Big Data is a large number of features or dimensions, which causes the issue of “the curse of dimensionality” when applying machine learning …