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581
Challenges and Opportunities for Applying Meta-Heuristic Methods in Vehicle Routing Problems: A Review
Published 2024-02-01“…A review of popular meta-heuristic methods is presented, including Simulated Annealing, Genetic Algorithm, Particle Swarm Optimization, and Ant Colony Optimization. …”
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582
Routing algorithm for railway monitoring linear WSN based on improved PSO
Published 2022-05-01Get full text
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583
Routing algorithm for railway monitoring linear WSN based on improved PSO
Published 2022-05-01Get full text
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584
Path Planning for a UAV Swarm Using Formation Teaching-Learning-Based Optimization
Published 2025-01-01Get full text
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585
Rapid mold optimization based on ultraviolet curing 3D printing technology
Published 2025-07-01Get full text
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586
Hummingbird-Inspired Modified Particle Swarm Optimization for Efficient Task Scheduling in Cloud Computing
Published 2025-05-01Get full text
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587
Engineering project management technology based on visual simulation module and particle swarm optimization
Published 2025-07-01Get full text
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588
Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization
Published 2012-01-01Get full text
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589
Overseas Warehouse Location of Cross-Border E-Commerce Based on Particle Swarm Optimization
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590
Novel Particle Swarm Optimization Guidance for Hypersonic Target Interception with Impact Angle Constraint
Published 2022-01-01Get full text
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591
Heuristic Optimization-Based Trajectory Planning for UAV Swarms in Urban Target Strike Operations
Published 2024-12-01Get full text
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592
BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches
Published 2025-01-01Get full text
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593
State of Charge Estimation on Lithium-Ion Batteries Using Particle Swarm Optimization Method
Published 2025-04-01Get full text
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594
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596
Servo System Control of Turntable Lipstick-Filling Machine Based on Particle Swarm Optimization
Published 2022-01-01Get full text
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597
HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION
Published 2023-06-01“…Parameter selection of SVM is normally done by trial and error so that the performance is less than optimal. Some optimization algorithms based heuristic optimization can be used to determine the best parameter values of SVM, for example Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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