Minimum cost of job assignment in polynomial time by adaptive unbiased filtering and branch-and-bound algorithm with the best predictor by Jeeraporn Werapun, Witchaya Towongpaichayont, Anantaporn Hanskunatai

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An Integrated Supply Chain Model for Predicting Demand and Supply and Optimizing Blood Distribution by Pooria Bagher Niakan, Mehdi Keramatpour, Behrouz Afshar-Nadjafi, Alireza Rashidi Komijan

“…Genetic algorithms (GA) and particle swarm optimization (PSO) are used to solve mathematical models quickly and efficiently, ensuring reliable operation. …”
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Assessing the biocementation of lateritic soil using hydraulic conductivity and bioinspired optimization approach by Roland Kufre Etim, Paul Yohanna, Adrian Oshioname Eberemu, Kolawole Juwonlo Osinubi, Thomas Stephen Ijimdiya

“…Results revealed that increased bacterial density and compaction energy significantly reduced hydraulic conductivity due to calcite formation, confirmed through XRD, SEM, XRF, and FTIR analyses. To optimize the hydraulic conductivity, bio-inspired algorithms including particle swarm optimization (PSO), smell agent optimization (SAO), and bacterial foraging optimization (BFO) were deployed. …”
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Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…It highlights that the integration of AI by optimization algorithms (such as Genetic Algorithms, particle swarm optimization, and manta ray foraging optimization) offers an effective path toward the intelligent evolution of WEDM processes. …”
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Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building by Abtin Baghdadi, Harald Kloft

“…The methodology combines MATLAB-based coding, interpolation from verified reference diagrams, and iterative stiffness adjustment across floors, offering transparency and accuracy. Optimization is performed using Multi-Objective Particle Swarm Optimization (MOPSO), enabling efficient exploration of Pareto-optimal solutions that balance deformation and material usage. …”
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Path Optimization Model for Urban Transportation Networks under the Perspective of Environmental Pollution Protection by Can Liu, Zongping Li, Yueyang Li

“…Finally, the improved particle swarm optimization algorithm is used to solve the two-objective model to obtain the Pareto front solution set, that is, the path scheme under real-time traffic conditions. …”
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Hybrid Metaheuristic Model for Optimal Economic Load Dispatch in Renewable Hybrid Energy System by D. Blandina Miracle, R. K. Viral, P. M. Tiwari, Mohit Bansal

“…The proposed hybrid optimization is a combination of particle swarm optimization (PSO) and cat swarm optimization (CSO), and the new algorithm is referred to as the particle oriented cat swarm optimization model (POCSO). …”
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HEURISTIC OPTIMIZATION OF ANTENNA DEPLOYMENT FOR COMBINATIONAL TWO-DIMENSIONAL RFID-BASED LOCALIZATION METHOD by Yu. B. Gimpilevich, D. A. Savochkin

“…Four heuristic optimization algorithms (genetic algorithm, plant growth algorithm, simulated annealing algorithm, particle swarm algorithm) are adapted to the problem of the search for the best antenna deployment using a combinational RFID-based two-dimensional localization method. …”
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Coordinated Optimal Control of Secondary Cooling and Final Electromagnetic Stirring for Continuous Casting Billets by Dongsheng Wu, Zhenping Ji, Jian Yang, Hongwei Gao, Jiahui Yu, Zhaojie Ju

“…In this paper, a coordinated optimal control strategy based on a multiobjective particle swarm optimization (MOPSO) algorithm is proposed for the parameter optimization of secondary cooling and F-EMS, which is solved based on multiobjective particle swarm optimization (MOPSO) algorithm. …”
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An adaptive non-equidistant grey model with four parameters and its applications in deformation monitoring by Shuang Yang, Changchun Li, Jiao Fu, Huanqin Ma

“…First, the nonlinear function is used as a new grey action quantity in order to comprehensively reflect the grey information that affects the development of the system. Second, the particle swarm optimization algorithm is used to optimize the background value so that it can be adaptively adjusted according to the sequence characteristics as well as to obtain a mutually matching model structure based on the integral theory. …”
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Research on inter-plant weeding control in peanut at LADRC based on IACO-PSO optimization by Xiaolong Zhang, Hongzhen Xu, Jiaodi Liu, Longzhe Quan, Lichang Zhang, Bang Zhang

“…To address this, this study investigated a Linear Active Disturbance Rejection Control (LADRC) system for peanut inter-plant weeding, optimized using an improved Ant Colony Optimization-Particle Swarm Optimization IACO-PSO algorithm. …”
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A multi-objective optimization approach for the virtual coupling train set driving strategy by Junting Lin, Maolin Li, Xiaohui Qiu

“…Furthermore, the particle swarm optimization (PSO)-based model predictive control (MPC) algorithm has also demonstrated tracking accuracy and further improved safety during VCTS operation, with an average increase of 37.7% in tracking accuracy compared to the traditional MPC algorithm.…”
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A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems by Jun Wang, Pengcheng Luo, Xinwu Hu, Xiaonan Zhang

“…All of the running results are compared with those of a discrete particle swarm optimization (DPSO), a genetic algorithm with greedy eugenics (GAWGE), and an adaptive immune genetic algorithm (AIGA). …”
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Efficient Multi-Target Localization Using Dynamic UAV Clusters by Wei Gong, Shuhan Lou, Liyuan Deng, Peng Yi, Yiguang Hong

“…To solve the NP-hard clustering problem, we develop the MDQPSO-ASA algorithm, which combines multi-swarm discrete quantum-inspired particle swarm optimization with adaptive simulated annealing, incorporating a repair mechanism to satisfy spatial and cardinality constraints. …”
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Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing by Agnieszka Polowczyk, Alicja Polowczyk, Marcin Woźniak

“…To date, some metaheuristic algorithms have been used primarily to optimize convolutional networks and find suitable hyperparameters, these are: genetic algorithm, particle swarm optimization, differential evolution or covariance matrix adaptation evolution strategy. …”
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Gradient-based optimization for parameter identification of lithium-ion battery model for electric vehicles by Motab Turki Almousa, Mohamed R. Gomaa, Mostafa Ghasemi, Mohamed Louzazni

“…The findings were contrasted to those from various algorithms, such as whale optimization algorithm, multi-verse optimizer, sine cosine algorithm, arithmetic optimization algorithm, particle swarm optimization, red kite optimization algorithm, tree-seed algorithm, and white shark optimizer. …”
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Design and Parameter Optimization of Trajectory Correction Control Strategy for Air Duct Structure Projectile by Silin Cui, Xing Liu, Shoushan Jiang, Wei Wu

“…A design method of trajectory correction control strategy based on particle swarm optimization-cuckoo search (PSO-CS) hybrid algorithm is proposed to obtain the optimal control parameters that can make the projectile flight stable and correct accurately. …”
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Brown bear optimized random forest model for short term solar power forecasting by Rathika Senthil Kumar, P.S. Meera, V. Lavanya, S. Hemamalini

“…The results obtained are compared with hyperparameter tuning using particle swarm optimization (PSO) and firefly algorithm (FA). …”
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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

“…The proposed Eight-GWO on the 24 functions of the CEC2005 benchmark suite and compared its results with both the standard GWO and Particle Swarm Optimization (PSO). The experiments result show the proposed Eight-GWO gets better results than GWO and PSO where it achieved the best results on 80% of the test functions. …”
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Structural Parameter Optimization of a Tubular Permanent-Magnet Linear Machine for Regenerative Suspension by Dongsheng Lu, Hailong Zhang, Jian Liu, Enrong Wang

“…The magnetic field analysis method of the excitation source separation is proposed, and then, the transient analytical model of output electromagnetic force and the external circuit characteristic under displacement excitation is established. A modified particle swarm optimization algorithm is further adopted to optimize the structural parameters of TPMLM. …”
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