Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
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 …
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 …
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
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 …
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …
Liver Cancer Algorithm: A novel bio-inspired optimizer
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 …
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 …
optimization (QIO), is proposed to address numerical optimization and engineering issues …
Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters
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 …
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 …
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 …
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 …
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
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 …
(IoT), the hydrological data are increasingly enriched. As a result, more and more algorithms …