A novel group-based framework for nature-inspired optimization algorithms with adaptive movement behavior by Adam Robson, Kamlesh Mistry, Wai-Lok Woo

“…The proposed frameworks have shown promising results when implemented into the Bat algorithm (BA), Firefly algorithm (FA), and Particle Swarm Optimization algorithm (PSO), all of which are popular when applied to the field of feature selection, and have been shown to perform well in a variety of domains, gaining notoriety due to their powerful search capabilities.…”
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Metal Oxide Nanomaterials as Rice Transgenic Carriers by Xiangbo Yang, Xia Bai, Zhenkai Zhang, Xiaoming Yu

“…In this paper, particle swarm optimization is used to optimize the weights of rice-growing convolutional neural networks. …”
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A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation by Changxi Ma, Wei Hao, Ruichun He, Bahman Moghimi

“…Moreover, a fuzzy C-means clustering-particle swarm optimization (FCMC-PSO) algorithm is designed, and the FCMC algorithm is used to cluster the demand points. …”
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Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments by Zheyi Chen, Xu Zhao, Bing Lin

“…To address this problem, we propose an adaptive discrete particle swarm optimization algorithm based on the fuzzy theory and genetic algorithm operators (DPSO-FGA) to minimize the fuzzy data transmission time of scientific workflows. …”
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Collaborative Optimization Model for the Design and Operation of Feeder Bus Routes Based on Urban Metro by Yuanwen Lai, Yansheng Chen

“…The improved particle swarm optimization (PSO) algorithm is used to solve the collaborative optimization model, and the effectiveness of the model and algorithm is verified through the case study. …”
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Suggesting a Novel Hybrid Approach for Predicting Solar Irradiance in the Qinghai Province of China by Baran Yılmaz, Rachel Samra

“…In this work, long short-term memory has been optimized using Particle swarm optimization, Grasshopper optimization algorithm, and Slime mold algorithm. …”
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Hybrid Swarm Intelligence Optimization Approach for Optimal Data Storage Position Identification in Wireless Sensor Networks by Ranganathan Mohanasundaram, Pappampalayam Sanmugam Periasamy

“…Thus, hybrid particle swarm optimization algorithm has been used to find the suitable positions for storage nodes while the total energy cost of data transmission is minimized. …”
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A Method for Adaptively Enhancing Foggy Low-Illumination Image by Lihua Bi, Wenjiao Zhang, Jinjuan Zhu, Canlin Li

“…For the proposed adaptive gamma correction and adaptive MSR, an effective fitness function is designed to select the optimal scale value by virtue of particle swarm optimization (PSO) algorithm. The experiments show that the proposed method has better effect on improving the sharpness and contrast of the image, compared with the typical algorithms. …”
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Parameter Identification of Composite Materials Based on Spectral Model by Using Model Updating Method by Rui Sun, Ricardo Perera, Enrique Sevillano, Jintao Gu

“…A model updating approach based on a spectral element model and solved with a particle swarm optimization (PSO) method is proposed to identify the vibration-damping properties of composite materials. …”
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Research on the Extraction Algorithm of Dielectric Parameters of Simple Building by Zhongyu Liu, Yuanxi Wang, Lixin Guo, Zhigang Zhong, Zuoyong Nan, Lingfeng Shen, Jiangting Li

“…By combining the particle swarm optimization (PSO) algorithm, the dielectric parameters of the marble targets are successfully inverted. …”
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Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure by Wagner B. Lenz, Mauricio A. Ribeiro, Rodrigo T. Rocha, Jose M. Balthazar, Angelo M. Tusset

“…The neighbour of selected variables is analyzed and then optimized by a process utilizing the particle swarm optimization (PSO) algorithm. Furthermore, an optimal control using the linear-quadratic regulator (LQR) controller is applied to control the load resistance of the piezoelectric circuit. …”
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Rotating Machine Fault Diagnosis Based on Optimal Morphological Filter and Local Tangent Space Alignment by Shaojiang Dong, Lili Chen, Baoping Tang, Xiangyang Xu, Zhengyuan Gao, Juan Liu

“…In order to identify the fault of rotating machine effectively, a new method based on the morphological filter optimized by particle swarm optimization algorithm (PSO) and the nonlinear manifold learning algorithm local tangent space alignment (LTSA) is proposed. …”
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Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm by Aida Ghorbani, Amir Daneshvar, Ladan Riazi, Reza Radfar

“…To solve this problem, a particle swarm optimization (PSO) algorithm to select the most efficient features was used in our proposed method. …”
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Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering by Jun Gang, Jiuping Xu, Yinfeng Xu

“…To search for the optimal solution of the bilevel model, a hybrid algorithm made up of an adaptive particle swarm optimization, an adaptive hybrid genetic algorithm, and a fuzzy random simulation algorithm is also proposed. …”
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Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm by Guang-zhou Chen, Jia-quan Wang, Ru-zhong Li

“…To verify the effectiveness of the improved algorithms, the optimization performance of improved DS in kinetic parameter estimation is studied and compared with that of the basic DS algorithm, differential evolution, artificial bee colony optimization, and quantum-behaved particle swarm optimization. And the experimental results demonstrate that the DS with the Latin hypercube sampling method does not present better performance, while the hybrid methods have the advantages of strong global search ability and local search ability and are more effective than the other algorithms.…”
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The Action Control Model for Robotic Fish Using Improved Extreme Learning Machine by XueXi Zhang, ShuiBiao Chen, ShuTing Cai, XiaoMing Xiong, Zefeng Hu

“…As the outputs in ELM are varying with the randomly initialized parameters, particle swarm optimization (PSO) algorithm further improves the accuracy and robustness of the ELM by optimizing initial parameters. …”
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PSO with Mixed Strategy for Global Optimization by Jinwei Pang, Xiaohui Li, Shuang Han

“…Particle swarm optimization (PSO) is an evolutionary algorithm for solving global optimization problems. …”
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Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity by Ali Salem Ali, Suray Alsamaraee, Aya Ayad Hussein

“…The HMPSO is short for Hénon map and particle swarm optimization, while DDV is short for distinction disparity value. …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar, Pabitra Kumar Biswas, Chiranjit Sain, Furkan Ahmad, Rishiraj Sarker, Taha Selim Ustun

“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
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