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 …

Advances in teaching-learning-based optimization algorithm: A comprehensive survey

G Zhou, Y Zhou, W Deng, S Yin, Y Zhang - Neurocomputing, 2023 - Elsevier
Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

[HTML][HTML] Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

M Dehghani, Z Montazeri, E Trojovská… - Knowledge-Based …, 2023 - Elsevier
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …

Liver Cancer Algorithm: A novel bio-inspired optimizer

EH Houssein, D Oliva, NA Samee, NF Mahmoud… - Computers in Biology …, 2023 - Elsevier
This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …

Quadratic Interpolation Optimization (QIO): A new optimization algorithm based on generalized quadratic interpolation and its applications to real-world engineering …

W Zhao, L Wang, Z Zhang, S Mirjalili… - Computer Methods in …, 2023 - Elsevier
An original math-inspired meta-heuristic algorithm, named quadratic interpolation
optimization (QIO), is proposed to address numerical optimization and engineering issues …

Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters

X Chen, K Yu - Solar Energy, 2019 - Elsevier
Accurate estimation of model parameters plays a very important role in modeling solar
photovoltaic (PV) systems. In the past decade, meta-heuristic algorithms (MHAs) have been …

A survey of teaching–learning-based optimization

F Zou, D Chen, Q Xu - Neurocomputing, 2019 - Elsevier
Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

Hybrid teaching–learning-based optimization and neural network algorithm for engineering design optimization problems

Y Zhang, Z Jin, Y Chen - Knowledge-Based Systems, 2020 - Elsevier
Neural network algorithm (NNA) is one of the newest meta-heuristic algorithms, which is
inspired by biological nervous systems and artificial neural networks. Benefiting from the …

A whale optimization algorithm based on quadratic interpolation for high-dimensional global optimization problems

Y Sun, T Yang, Z Liu - Applied Soft Computing, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA), as a new population-based optimization
algorithm, performs well in solving optimization problems. However, when tackling high …

Convolutional Neural Networks for forecasting flood process in Internet-of-Things enabled smart city

C Chen, Q Hui, W Xie, S Wan, Y Zhou, Q Pei - Computer Networks, 2021 - Elsevier
With the advancement of water conservancy informatization based on Internet of Things
(IoT), the hydrological data are increasingly enriched. As a result, more and more algorithms …