A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions by Boyan Huang, Kai Song, Shulin Jiang, Zhenqing Zhao, Zhiqiang Zhang, Cong Li, Jiawen Sun

“…To address these challenges, this paper introduces a hybrid algorithm that integrates an improved salp swarm algorithm (SSA) with the perturb and observe (P&O) method. …”
Get full text

Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm by Haoyi CHEN, Guangqiu LI, Hui LI

Subjects: Get full text

Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

“…Therefore, an optimization algorithm, namely, the improved salp swarm optimization algorithm (ISSA), is incorpo-rated with the PTS to reduce the PAPR of the OFDM signals with limited com-putational cost. …”
Get full text

Improved marine predator MPPT algorithm for photovoltaic systems in partial shading conditions by Hanbo Zheng, Qi Du, Shuqin Mo, Tuanfa Qin, Shusheng Wang, Zhe Li

“…Experiments show that the tracking time of the improved algorithm is improved by 32.6%, 76.5%, and 50% compared to the original algorithm, particle swarm algorithm, and incremental conductance method, respectively, under uniform illumination. …”
Get full text

Hybridization of deep learning models with crested porcupine optimizer algorithm-based cybersecurity detection on industrial IoT for smart city environments by Sarah A. Alzakari, Mohammed Aljebreen, Mashael M. Asiri, Wahida MANSOURI, Sultan Alahmari, Mohammed Alqahtani, Shaymaa Sorour, Wafi Bedewi

“…To accomplish that, the CCPOA-HDLM method comprises distinct processes such as min-max normalization, improved Salp swarm algorithm (ISSA)-based feature selection, Multi-Channel Convolutional Neural Network - Recurrent Neural Network (MCNN-RNN)-based cybersecurity detection, and crested porcupine optimizer (CPO)-based parameter selection process. …”
Get full text

Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm by Fei XUE, Xin MA, Bei TIAN, Hui WU

“…A multi-peak phenomenon can be observed on the power-voltage (P-U) characteristic curve of a photovoltaic (PV) array under partially shaded conditions (PSCs). In this case, conventional maximum power point tracking (MPPT) algorithms tend to fall into local extremums, and swarm intelligence algorithms would spend much time in tracking. …”
Get full text

The Application of Compound Control Algorithm in Photovoltaic System MPPT by WANG Shenghui, LI Yilun, ZHENG Hong, GAO Shan

“…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
Get full text

Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

Get full text

Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design by Wei Gao

Get full text

Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

Get full text

Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm by Tieying Jiang, Liang Jiang

Get full text

Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm by Shaoming ZHANG, Siqing SHENG

Get full text

New Design of Smooth PSO-IPF Navigator With Kinematic Constraints by Mahsa Mohaghegh, Hedieh Jafarpourdavatgar, Samaneh-Alsadat Saeedinia

“…To address this, we propose Smoothed Partial Swarm Optimization with Improved Potential Field (SPSO-IPF), combining both approaches and it is capable of generating a smooth and safe path. …”
Get full text

Two Kinds of Classifications Based on Improved Gravitational Search Algorithm and Particle Swarm Optimization Algorithm by Hongping Hu, Xiaxia Cui, Yanping Bai

Get full text

A resource allocation algorithm based on improved salp swarm algorithm in cognitive smart grid by SHEN Hongting

Get full text

Salp Swarm Algorithm Optimized A* Algorithm and Improved B-Spline Interpolation in Path Planning by Hang Zhou, Tianning Shang, Yongchuan Wang, Long Zuo

Get full text

MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments by Xiaohua Nie, Haoyao Nie

“…This work presents a maximum power point tracking (MPPT) based on the particle swarm optimization (PSO) improved shuffled frog leaping algorithm (PSFLA). …”
Get full text

Reducing PAPR in NOMA Waveforms Using Genetic-Enhanced PTS and SLM: A Low-Complexity Approach for Improved throughput, power spectral density, and Power Efficiency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…To overcome these issues, this paper introduces new Particle Swarm Optimization (PSO)-improved partial transmit sequence (PTS) and Selective Mapping (SLM) schemes that optimally choose phase factors with much lower search complexity. …”
Get full text

An efficient swarm evolution algorithm with probability learning for the black and white coloring problem by Zhiqiang Zhang, Li Zhang, Xiujun Zhang

Get full text

Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

Get full text