Green virtual network embedding algorithm based on particle swarm optimization by Hua QU, ANBin F, Ya GUO, Li WANG, Jihong ZHAO

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Charging Guidance of Electric Taxis Based on Adaptive Particle Swarm Optimization by Liyong Niu, Di Zhang

“…An electric taxis charging guidance model is established and guides the charging based on the positions of taxis and charging stations with adaptive mutation particle swarm optimization. The simulation is based on the actual data of Shenzhen charging stations, and the results show that electric taxis can be evenly distributed to the appropriate charging stations according to the charging pile numbers in charging stations after the charging guidance. …”
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IDS alert clustering algorithm based on chaotic particle swarm optimization by Xiao-bo XU, Qin-qin JIANG, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…In order to improve the quality of alerts in intrusion detection system (IDS) and reduce the large number of redundant alarms, an IDS alerts clustering algorithm based on chaotic particle swarm optimization was proposed.It made the motion of particles with characteristics of chaos,so as to make particles move between the state of chaos and stable, and gradually close to the optimal value. …”
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Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization by S. Sakinah S. Ahmad, Witold Pedrycz

“…In this study, we use a technique of particle swarm optimization (PSO) as an optimization vehicle of forming a subset of features and data (instances) to design a fuzzy model. …”
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Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem by Rong-Jiang Ma, Nan-Yang Yu, Jun-Yi Hu

“…Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. …”
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Multi-point path planning based on the algorithm of colony-particle swarm optimization by Lijue LIU, Shuning LUO, Yan GAO, Meifei CHEN

“…The problem of multi-point path planning is a NP-hard problem,which is equivalent to finding the shortest path of a starting point and some specific node.Aiming at the problem of multi-point path planning,a retrospective ant colony-particle swarm optimization algorithm was proposed.This algorithm used Floyd-Warshall to transform the graph and combined ant colony algorithm and particle swarm algorithm to find the shortest path.The experimental results show that this algorithm can find the precise solution under small data,at the same time,under a large amount of data,can be better than the maximum minimum ant colony algorithm and genetic algorithm.…”
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A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network by Jie Liang, Lu Wang, Qingchang Ji

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Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification by Veri Julianto, Ahmad Rusadi Arrahimi, Oky Rahmanto, Mohammad Sofwat Aldi

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Consensus Control of Second-Order Multiagent Systems with Particle Swarm Optimization Algorithm by Xiongfeng Deng, Xiuxia Sun, Ri Liu, Shuguang Liu

“…In order to improve the control effect of a given system, the particle swarm optimization (PSO) algorithm is introduced and an improved PSO algorithm is proposed. …”
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Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method by Mu Lin, Zhao-Huanyu Zhang, Hongyu Zhou, Yongtao Shui

“…Next, an improved particle swarm optimization algorithm is developed based on the Gaussian perturbation method to generate the optimal trajectory. …”
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OPTIMIZATION DESIGN OF INTERNAL GEAR PUMP BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION by SUN YuanJing, QI ZhiYuan, ZHAO GuoChao

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Parameter Estimation in Ordinary Differential Equations Modeling via Particle Swarm Optimization by Devin Akman, Olcay Akman, Elsa Schaefer

“…Here, we implement Particle Swarm Optimization, which draws inspiration from the optimizing behavior of insect swarms in nature, as it is a simple and efficient method for fitting models to data. …”
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Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities by Jun-qing Li, Quan-ke Pan, Kun Mao

“…A hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the hybrid flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. …”
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A Multiobjective Particle Swarm Optimization Algorithm Based on Grid Technique and Multistrategy by Kangge Zou, Yanmin Liu, Shihua Wang, Nana Li, Yaowei Wu

“…To enhance the convergence and diversity of the multiobjective particle swarm algorithm, a multiobjective particle swarm optimization algorithm based on the grid technique and multistrategy (GTMSMOPSO) is proposed. …”
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Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm by Hyunseok Kim, Seongju Chang, Jinsul Kim

“…To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. …”
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Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption by Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang

“…Finally, the signal is extracted using the Levi flight strategy based on kurtosis and the quantum particle swarm optimization optimized by the greedy algorithm (KLG-QPSO). …”
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Non-inertial opposition-based particle swarm optimization with adaptive elite mutation by Lan-lan KANG, Wen-yong DONG, Wan-juan SONG, Kang-shun LI

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Enhanced particle swarm optimization with chaotic search for offshore micro-energy systems by Weiguo Huang, Wen Li, Xuewen Pan, Qiming Liu, Jie Yang

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Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval by Muhammad Imran, Rathiah Hashim, Abd Khalid Noor Elaiza, Aun Irtaza

“…To improve the performance of RF, this paper has proposed a new technique, namely, PSO-SVM-RF, which combines SVM based RF with particle swarm optimization (PSO). The aims of this proposed technique are to enhance the performance of SVM based RF and also to minimize the user interaction with the system by minimizing the RF number. …”
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A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems by Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin

“…To better solve MaOPs, this paper presents a novel angular-guided particle swarm optimizer (called AGPSO). A novel velocity update strategy is designed in AGPSO, which aims to enhance the search intensity around the particles selected based on their angular distances. …”
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