Optimal performance design of bat algorithm: An adaptive multi‐stage structure by Helong Yu, Jiuman Song, Chengcheng Chen, Ali Asghar Heidari, Yuntao Ma, Huiling Chen, Yudong Zhang

“…Abstract The bat algorithm (BA) is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness, which can be used to find the globally optimal solutions for various optimisation problems. …”
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Properties of objective functions and search algorithms in multi-objective optimization problems by A. V. Smirnov

“…The only heuristic algorithm shown to obtain the optimal solutions for all the functions is the particle swarm optimization algorithm. …”
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Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm by Iman S. Kareem, Sahar R. Al-Sakini, Ghassan A. Bilal

“…Numerous researchers use a variety of techniques, including fuzzy logic, particle swarm optimization, evolutionary algorithms, and others, to attempt to determine the ideal values of P, I, and D. …”
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Route Optimization for UGVs: A Systematic Analysis of Applications, Algorithms and Challenges by Dario Fernando Yépez-Ponce, William Montalvo, Ximena Alexandra Guamán-Gavilanes, Mauricio David Echeverría-Cadena

“…Heuristic algorithms, such as Humpback Whale Optimization, Firefly Search and Particle Swarm Optimization, are commonly employed to solve complex search problems. …”
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Comparison of algorithms for multi-objective optimization of radio technical device characteristics by A. V. Smirnov

“…One of the compared algorithms comprises the Third Evolution Step of Generalized Differential Evolution (GDE3) population-based algorithm for searching the full approximation of the Pareto set simultaneously, while the other three algorithms minimize the scalar objective function to find only one element of the Pareto set in a single search cycle: these comprise Multistart Pattern Search (MSPS), Multistart Sequential Quadratic Programming (MSSQP) method and Particle Swarm Optimization (PSO) algorithms.Results. …”
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PID CONTROLLER FOR SPEED CONTROL OF PMSM BASED ON MAYFLY OPTIMIZATION ALGORITHM by Fatimah F. Jaber

“…This suggested approach has been verified with MATLAB, and the outcomes are compared with the standard particle swarm optimization technique (PSO) and conventional PID. …”
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Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array by Nattaset Mhudtongon, Chuwong Phongcharoenpanich, Supakit Kawdungta

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Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller by Arindita Saha, Puja Dash, Tirumalasetty Chiranjeevi, Naladi Ram Babu

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Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H₂) Energy Systems by Ayatte I. Atteya, Dallia Ali, Nazmi Sellami

“…The model integrates a Particle Swarm Optimisation (PSO) algorithm that enables minimising both the levelised cost of energy (LCOE) and the building carbon footprint with a dynamic model that considers the real-world behaviour of the system components. …”
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Research on Fault Diagnosis of Traction Power Supply System Based on PSO-LSSVM by Lei ZHANG

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Seismic Inversion Problem Using a Multioperator Whale Optimization Algorithm by Rui Ni, Xiaodan Liang

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Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port by MA Zhutong, XIANG Long, YAN Ke

“…A predictive model of water demand for scouring siltation was constructed, which combined adaptive particle swarm optimization (APSO) algorithm with support vector machine (SVM) and optimized the model parameters of the SVM through the APSO algorithm, enhancing the prediction accuracy of the APSO-SVM model. …”
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Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port by MA Zhutong, XIANG Long, YAN Ke

“…A predictive model of water demand for scouring siltation was constructed, which combined adaptive particle swarm optimization (APSO) algorithm with support vector machine (SVM) and optimized the model parameters of the SVM through the APSO algorithm, enhancing the prediction accuracy of the APSO-SVM model. …”
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Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model by Chuansheng Zhang, Minglai Yang

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Synergistic SAPSO-sinusoidal decay empirical formula for ship motion forecasting in waves by Jianwei Wang, Xinyu Han, Jiachen Chai, Wenlei Li, Ze He, Minghua Yue

“…Recent studies have demonstrated the effectiveness of metaheuristic optimisation algorithms (e.g. Particle Swarm Optimization, PSO) in multivariate dynamic response prediction. …”
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Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management by Hubert Zarzycki

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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems by Wali Khan Mashwani, Zia Ur Rehman, Maharani A. Bakar, Ismail Koçak, Muhammad Fayaz

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Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm by Shenglong QI, Lei LI, Yupeng HE, Lin ZHU, Fang WANG, Hongbo ZOU

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Dynamic UAV Task Allocation and Path Planning with Energy Management Using Adaptive PSO in Rolling Horizon Framework by Zhen Han, Weian Guo

“…We introduce an enhanced Particle Swarm Optimization (PSO) algorithm, incorporating adaptive perturbation strategies and a local search mechanism based on simulated annealing, to optimize UAV task assignments and routes. …”
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