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Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity
Published 2021-01-01“…The individuality of the algorithm has been fully utilized and developed. The test results show that the improved algorithm has faster convergence speed and higher solution accuracy, and the feature selection algorithm based on swarm intelligence algorithm can effectively improve the efficiency of the algorithm.…”
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Enhanced Tunicate Swarm Algorithm for Big Data Optimization
Published 2023-04-01“…In this study, Tunicate Swarm Algorithm (TSA), which has been newly developed in recent years, was chosen to solve big data optimization problems. …”
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Routing Enhancement in MANET Using Particle Swarm Algorithm
Published 2024-12-01“…This paper implements an enhanced Particle Swarm Optimization (EPSO) algorithm that improves MANET performance by enhancing the routing protocol. …”
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Swarm Confrontation Algorithm for UGV Swarm with Quantity Advantage by a Novel MSRM-MAPOCA Training Method
Published 2025-01-01“…Based on the Unity 3D platform, comprehensive direct and indirect comparative tests have been conducted, where the results show that the swarm confrontation algorithm proposed in this article triumphs over other classic or up-to-date swarm confrontation algorithms in terms of both win rate and efficiency.…”
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Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm
Published 2023-04-01“…This work will present a novel honeyword generation method that uses a proposed discrete salp swarm algorithm. The salp swarm algorithm (SSA) is a bio-inspired metaheuristic optimization algorithm that imitates the swarming behavior of salps in their natural environment. …”
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Efficacy of swarm-based neural networks in automated depression detection
Published 2025-07-01“…Abstract As depression becomes a global pandemic, this research paper presents a comprehensive study for depression diagnosis using a custom-crafted deep learning model optimized with various swarm intelligence algorithms. Three different optimization algorithms-dragonfly algorithm, Firefly Algorithm, and Moth Flame Optimization Algorithm-have been employed for feature selection and dimensionality reduction. …”
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Improved salp swarm algorithm based optimization of mobile task offloading
Published 2025-05-01“…Therefore, this study presents an improved salp swarm algorithm-based Mobile Application Offloading Algorithm (ISSA-MAOA) technique for MEC. …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm
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Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm
Published 2016-01-01“…In terms of the detection of tooth diagnosis, no intelligent detection has been done up till now. Dentists just look at images and then they can detect the diagnosis position in tooth based on their experiences. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance
Published 2025-04-01“…The Chameleon Swarm Algorithm (CSA) is a modern metaheuristic algorithm that uses how chameleons act. …”
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An Improved Convergence Particle Swarm Optimization Algorithm with Random Sampling of Control Parameters
Published 2019-01-01“…Besides that, in order to make full use of dimension information of some better particles, the stochastic correction approach on each dimension for the population optimum value has been adopted. The final experiments results demonstrate that the proposed algorithm further improves the convergence rate while maintaining higher convergence accuracy, compared with basic particle swarm optimization and other variants.…”
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A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments
Published 2020-07-01“…Experimental results show that proposed strategies compared to other schemes such as reinitialized midpoint check, hill-valley detection with three checkpoints, and merging information of collided populations have the same or even higher ability to improve the performance of the multi-swarm PSO algorithms in moving peaks benchmark.…”
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Application of Particle Swarm Algorithm in Nanoscale Damage Detection and Identification of Steel Structure
Published 2022-01-01“…Second, two test functions are used to compare and analyze, which shows that the improved particle swarm algorithm has better optimization performance. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes
Published 2024-03-01“…In this study, in order to discover hidden patterns and diagnose diabetes, a particle swarm intelligence algorithm has been used along with a neural network to increase the accuracy of diabetes diagnosis. …”
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Retracted: VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information
Published 2020-01-01“…This algorithm is based on particle swarm optimization, combined with the advantages of traditional mutual information algorithm, according to the characteristics of virtual reality imaging, a new model is established. …”
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HYBRID FIREFLY AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DESIGN OF NON-LINEAR CHANNEL EQUALIZER
Published 2025-03-01“…This optimum solution has been modelled using the FFA algorithm, which is driven mainly by light intensity attraction. …”
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Big data processing using hybrid Gaussian mixture model with salp swarm algorithm
Published 2024-11-01“…The methodology proposed in this work makes use of Gaussian Mixture Model (GMM) for data clustering and the Salp Swarm Algorithm (SSA) for optimization. The security of preprocessed data stored on networked clusters with interconnections has been ensured by SHA algorithms. …”
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A Multidimensional Particle Swarm Optimization-Based Algorithm for Brain MRI Tumor Segmentation
Published 2025-04-01“…Particle Swarm Optimization (PSO) has been extensively applied to optimization tasks in various domains, including image segmentation. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm
Published 2025-12-01“…The multi-objective particle swarm algorithm combines a segmented pulse module and a cloud adaptation module. …”
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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics
Published 2019-06-01“…Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have become popular methods for solving different optimization problems. …”
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