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1641
A survey on autonomous navigation for mobile robots: From traditional techniques to deep learning and large language models
Published 2025-08-01“…The review extends to modern metaheuristic algorithms, including genetic algorithms (GA), particle swarm optimization (PSO), and ant colony optimization (ACO). …”
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1642
Robotic Arm Trajectory Planning Based on Improved Slime Mould Algorithm
Published 2025-01-01Get full text
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1643
A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling
Published 2013-01-01“…The permutation flow shop scheduling problem (PFSSP) is part of production scheduling, which belongs to the hardest combinatorial optimization problem. In this paper, a multipopulation particle swarm optimization (PSO) based memetic algorithm (MPSOMA) is proposed in this paper. …”
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1644
Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning
Published 2025-05-01“…Focusing on inland waters—key areas for eutrophication monitoring—we first developed an intelligent clustering method combining Kernel Principal Angle-based Component (KPAC) dimensionality reduction and Chameleon Swarm Algorithm (CSA)-optimized k-medoids to classify water bodies into four optical types based on hyperspectral reflectance features. …”
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1645
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1646
An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation
Published 2025-04-01Get full text
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1647
A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance
Published 2025-01-01“…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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1648
On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations
Published 2014-01-01“…These algorithms are the cuckoo search (CS), intelligent firefly (IFA), bat (BA), artificial bee colony (ABC), MAKHA, a hybrid between monkey algorithm and krill herd algorithm, covariance matrix adaptation evolution strategy (CMAES), magnetic charged system search (MCSS), and bare bones particle swarm optimization (BBPSO). …”
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1649
UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm
Published 2020-01-01“…In addition, terrain masking, nonisotropic radar cross section (RCS), and dynamic constraints of UAV are considered to determine the cost of the path. An improved particle swarm optimization (PSO) algorithm is proposed for finding an optimal path. …”
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1650
Optimal Charging Current Protocol with Multi-Stage Constant Current Using Dandelion Optimizer for Time-Domain Modeled Lithium-Ion Batteries
Published 2024-12-01“…To verify the performance of the proposed method, various algorithms, including the constant current-constant voltage (CC-CV) technique, formula method (FM), particle swarm optimization (PSO), war strategy optimization (WSO), jellyfish search algorithm (JSA), grey wolf optimization (GWO), beluga whale optimization (BWO), levy flight distribution algorithm (LFDA), and African gorilla troops optimizer (AGTO), were introduced. …”
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1651
A Harmony Search Algorithm for the Reproduction of Experimental Data in the Social Force Model
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1652
Synthesis of Thinned Concentric Circular Antenna Arrays Using Modified TLBO Algorithm
Published 2015-01-01“…Numerical results clearly show the superiority of MTLBO algorithm in finding optimum solutions compared to particle swarm optimization algorithm and firefly algorithm.…”
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1653
Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism
Published 2019-04-01“…Furthermore, comparative tests to solve these examples are carried out with HABC-Newton, ABC, DE and particle swarm optimization algorithms, and the numerical experiments indicate that HABC-Newton algorithm has better performance than compared algorithms in terms of the accuracy, robustness and computational efficiency.…”
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1654
A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots
Published 2022-01-01“…Taking into consideration commonly used classical approaches such as Dijkstra algorithm (DA), artificial potential field (APF), probabilistic road map (PRM), cell decomposition (CD), and meta-heuristic techniques such as fuzzy logic (FL), neutral network (NN), particle swarm optimization (PSO), genetic algorithm (GA), cuckoo search algorithm (CSO), and artificial bee colony (ABC). …”
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1655
Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Published 2025-07-01“…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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1656
Intrusion detection algorithm of wireless network based on network traffic anomaly analysis
Published 2025-06-01“…These features are analyzed by an intrusion detection module combining particle swarm optimization and support vector machine algorithms. …”
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1657
Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm
Published 2025-12-01“…Additionally, modified particle swarm optimization was employed to optimize the model's parameters. …”
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1658
Moldina: a fast and accurate search algorithm for simultaneous docking of multiple ligands
Published 2025-04-01“…This can be a challenging and computationally demanding process. By integrating Particle Swarm Optimization into the established AutoDock Vina framework, we provided a powerful tool capable of accelerating drug discovery, and computational enzymology. …”
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1659
Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks
Published 2025-08-01“…During the preference random walk phase of conventional CSO, particle swarm optimization (PSO) with adaptive inertia weights is defined to accelerate the local search capabilities. …”
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1660
Optimization and Coordination of HAFDV PINN Control by Improved PSO
Published 2013-01-01“…In this paper, the improved particle swarm optimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as the particle swarm optimization are adopted to optimize the system parameters. …”
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