APPLICATION OF QUADRATIC PROGRAMMING ON PORTFOLIO OPTIMIZATION USING WOLFE’S METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM by Syaripuddin Syaripuddin, Fidia Deny Tisna Amijaya, Wasono Wasono, Shanaz Tulzahrah, Rara Suciati

“…In this research, the classical method uses Wolfe’s method, while the heuristic method uses the particle swarm optimization (PSO) algorithm. This research aims to determine optimal results in portfolio problems using two methods, namely Wolfe’s method and the PSO algorithm. …”
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Distributed Photovoltaic Power Energy Generation Prediction Based on Improved Multi-objective Particle Algorithm by Yuanzheng Xiao, Huawei Hong, Feifei Chen, Xiaorui Qian, Ming Xu, Hanbin Ma

Subjects: “…Particle Algorithm…”
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Designing broadband cross-polarization conversion metasurfaces using binary particle swarm optimization algorithm by Jiao Wang, Wei-Qi Gu, Xin-Cheng Zhao, Yan-Nan Jiang, Kai-Da Xu

“…And based upon the coding metasurfaces and β′, this work first employs the Python-programmed binary particle swarm optimization algorithm to accomplish the optimal design of reflective broadband CPMs. …”
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Numerical heat transfer simulation system based on Lagrangian particle mathematical model and SSPH algorithm. by Dan Fang, Conghui Xiong, Wei Yu

“…A numerical heat transfer simulation system is proposed based on the Lagrangian particle mathematical model and optimized numerical heat transfer simulation algorithm. …”
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Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning by Xiao-bo SHI, Yin ZHANG, Shan ZHAO, Deng-ming XIAO

“…Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.…”
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Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm by Hui Dong

“…Based on the standard particle filtering algorithm, an improved auxiliary traceless particle filtering algorithm is proposed. …”
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Genetic Algorithms and Particle Swarm Optimization Mechanisms for Through-Silicon Via (TSV) Noise Coupling by Khaoula Ait Belaid, H. Belahrach, H. Ayad

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Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm by Si Zhang, Heying Zhu, Xia Li, Yan Wang

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Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System by Sahazati Md Rozali, Mohd Fua’ad Rahmat, Abdul Rashid Husain

“…Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization (PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. …”
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5G network slicing function migration mechanism based on particle swarm optimization algorithm by Qiang CHEN, Caixia LIU, Lingshu LI

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Improved Snake Optimization and Particle Swarm Fusion Algorithm Based on AUV Global Path Planning by Haobo Jiang, Xinghong Kuang

“…Finally, ISO diversifies the snake population’s distribution space by implementing a good point set initialization approach, a Cauchy variation strategy to enhance the convergence accuracy, and a fusion particle swarm algorithm strategy to improve the convergence speed. …”
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3D Flight Path Planning for UAV Based on Improved Particle Swarm Optimization Algorithm by Cunjie Li, Qingli Zhao, Canyi Che

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Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems by Wanxing Sheng, Huaitian Zhang, Keyan Liu, Xiaoli Meng

“…In order to realize data quality improvement and further support flexible choice of operating mode, safe and efficient coordinated control, dynamic and orderly fault recovery of sustainable PES, this paper proposes an unscented particle filter algorithm, adopting unscented Kalman filter to construct importance density functions and KLD resampling to dynamically adjust the particle number. …”
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Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization by Jianwen Guo, Zhenzhong Sun, Hong Tang, Xuejun Jia, Song Wang, Xiaohui Yan, Guoliang Ye, Guohong Wu

“…By making use of the advantages of particle swarm optimization (PSO) and cuckoo search (CS) algorithm, a hybrid optimization algorithm of PSO and CS is proposed to solve the PMPOM problem. …”
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Interference Suppression Algorithm for Microthrust Measurement System Based on Particle Swarm Optimization Fuzzy PID by Liye Zhao, Xiaolu Xiong, Mingming Han

“…An adaptive Kalman displacement expectation estimation algorithm and a particle swarm optimization fuzzy PID microthrust system interference suppression algorithm are designed. …”
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Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm by Hongli Liu, Li Hao, Li Ji, Shao Lei

“…Abstract Distributed power supply access to the distribution network, although it can effectively support the band voltage, will also cause problems such as voltage overruns at the point of grid connection and large network losses, so this paper establishes a reactive power optimization model containing three objectives: network loss, voltage fluctuation rate, and static reactive power generator (SVG) installation capacity in distributed photovoltaic power generation scenarios by taking advantage of the characteristics of SVG that both absorb and send out reactive power. A multiobjective particle swarm algorithm with an adaptive grid and roulette mechanism is introduced to ensure the uniformity and diversity of the Pareto boundaries under the constraint that the output of each device does not exceed the constraints, and to obtain the optimal set of solutions capable of coping with the stochastic fluctuations of distributed power sources. …”
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Home Load Optimization Scheduling Strategy Based on Improved Binary Particle Swarm Optimization Algorithm by Li ZHANG, Qinglei LIU, Hongwei ZHANG

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An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm by Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonah, Qing-Hua Ling

Subjects: “…gravitational search algorithm…”
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Deployment of On-Orbit Service Vehicles Using a Fuzzy Adaptive Particle Swarm Optimization Algorithm by Yaxiong Li, Xinglong Sun, Xinxue Liu, Jian Wu, Qingguo Liu

“…In consideration of the characteristics of this deployment problem, we propose a fuzzy adaptive particle swarm optimization (FAPSO) algorithm to solve this problem. …”
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Weighted Particle Swarm Optimization Algorithms and Power Management Strategies for Grid Hybrid Energy Systems by Udayakumar Ramanathan, Sugumar Rajendran

“…The results of the simulation show that WPSO outperforms existing algorithms in terms of energies, costs, and battery lives.…”
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