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 …

[HTML][HTML] ANT-colony optimization-direct torque control for a doubly fed induction motor: An experimental validation

S Mahfoud, A Derouich, A Iqbal, N El Ouanjli - Energy Reports, 2022 - Elsevier
Abstract Direct Torque Control (DTC) presents an optimal solution to control the behaviors of
the alternative motors, compared to other controls, because of several advantages offered …

Rank-based ant system with originality reinforcement and pheromone smoothing

S Pérez-Carabaza, A Gálvez, A Iglesias - Applied Sciences, 2022 - mdpi.com
Abstract Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by
the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant …

Estimation of Closed Hotels and Restaurants in Jakarta as Impact of Corona Virus Disease (Covid-19) Spread Using Backpropagation Neural Network

FA Susanto, MY Anshori, D Rahmalia… - … Systems Theory: An …, 2022 - repository.unusa.ac.id
Corona Virus Disease (Covid-19) has become the focus of world attention because it
attacked many people in the world and many people died. The effect of Covid-19 is not only …

Metaheuristics for multi criteria test case prioritization for regression testing

S Deepa - Journal of Computers, Mechanical and Management, 2022 - jcmm.co.in
Under the constraints of project deliveries, it is too costly to frequency run a large number of
test cases. Test case prioritization is needed to rank the test cases. The prioritization must be …

Multi-objective sustainable supply chain network optimization based on chaotic particle—Ant colony algorithm

T Zhang, W Xie, M Wei, X Xie - Plos one, 2023 - journals.plos.org
For the optimal design of the sustainable supply chain network, considering the
comprehensiveness of the problem factors, considering the three aspects of economy …

Fuzzy adaptive robust proportional–integral–derivative control optimized by the multi-objective grasshopper optimization algorithm for a nonlinear quadrotor

MJ Mahmoodabadi… - Journal of Vibration and …, 2020 - journals.sagepub.com
Proportional–integral–derivative is one of the most applicable control methods in industry.
Although it is simple and effective in most cases, it does not provide robustness against …

Gray wolf optimization of fractional order control of 3-omni wheels mobile robot: experimental study

H Ammar, M Ibrahim, A Azar… - 2020 16th international …, 2020 - ieeexplore.ieee.org
Committing robotics with artificial intelligence becomes mandatory collaboration with distinct
environments. Omnidirectional Wheeled (Omni-WD) mobile robots are one of the robots that …

[PDF][PDF] Credit risk assessment in P2P lending using LightGBM and particle swarm optimization

Y Dasril, MA Muslim, MF Al Hakim… - Register: Jurnal …, 2023 - journal.unipdu.ac.id
The credit risk evaluation is a vital task in the P2P Lending platform. An effective credit risk
assessment method in a P2P lending platform can significantly influence investors' …

The docking control system of an autonomous underwater vehicle combining intelligent object recognition and deep reinforcement learning

CM Yu, YH Lin - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
This study develops a visual-based docking system (VDS) for an autonomous underwater
vehicle (AUV), significantly enhancing docking performance by integrating intelligent object …