[HTML][HTML] 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 …

AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications

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 …

Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler's laws of planetary motion

M Abdel-Basset, R Mohamed, SAA Azeem… - Knowledge-based …, 2023 - Elsevier
This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

MEALPY: An open-source library for latest meta-heuristic algorithms in Python

N Van Thieu, S Mirjalili - Journal of Systems Architecture, 2023 - Elsevier
Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

I Antonopoulos, V Robu, B Couraud, D Kirli… - … and Sustainable Energy …, 2020 - Elsevier
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …

Red deer algorithm (RDA): a new nature-inspired meta-heuristic

AM Fathollahi-Fard, M Hajiaghaei-Keshteli… - Soft computing, 2020 - Springer
Nature has been considered as an inspiration of several recent meta-heuristic algorithms.
This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a …

Mantis Search Algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems

M Abdel-Basset, R Mohamed, M Zidan… - Computer Methods in …, 2023 - Elsevier
This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

Henry gas solubility optimization: A novel physics-based algorithm

FA Hashim, EH Houssein, MS Mabrouk… - Future Generation …, 2019 - Elsevier
Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …

Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments

N Rana, MSA Latiff, SM Abdulhamid… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …