Suchergebnisse - adaptive grid multi-objective particle swarm optimization algorithm

Design and Application of Vague Set Theory and Adaptive Grid Particle Swarm Optimization Algorithm in Resource Scheduling Optimization

Autoren: Han, Yibo Han, Pu Yuan, Bo et al.

Quelle: J Grid Comput

Schlagwörter: Research

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37089625

Application of adaptive grid-based multi-objective particle swarm optimization algorithm for directional drilling trajectory design

Autoren: Bihai Chen Guojun Wen Xin He et al.

Quelle: Geoenergy Science and Engineering. 222:211431

Schlagwörter: 02 engineering and technology, 0204 chemical engineering, 01 natural sciences, 0105 earth and related environmental sciences

An effective surrogate model assisted algorithm for multi-objective optimization: application to wind farm layout design

Autoren: Yong Chen Li Wang Hui Huang

Quelle: Frontiers in Energy Research, Vol 11 (2023)

Schlagwörter: multi-objective optimization, sparse Gaussian process, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, surrogate model, adaptive grid multi-objective particle swarm optimization algorithm, General Works, wind power engineering

Zugangs-URL: https://doaj.org/article/62fe1876cde14ff79e35853dcc52615b

An adaptive binary particle swarm optimization algorithm with filtration and local search for feature selection in text classification.

Autoren: Farek, Lazhar Benaidja, Amira

Quelle: Memetic Computing; Dec2025, Vol. 17 Issue 4, p1-21, 21p

Design and Application of Vague Set Theory and Adaptive Grid Particle Swarm Optimization Algorithm in Resource Scheduling Optimization

Autoren: Y Han P Han B Yuan et al.

Schlagwörter: Model, Multi objective, Particle swarm optimization algorithm, Resource scheduling, Vague set theory

Relation: 2381/22814882.v1; https://figshare.com/articles/journal_contribution/Design_and_Application_of_Vague_Set_Theory_and_Adaptive_Grid_Particle_Swarm_Optimization_Algorithm_in_Resource_Scheduling_Optimization/22814882

Verfügbarkeit: https://figshare.com/articles/journal_contribution/Design_and_Application_of_Vague_Set_Theory_and_Adaptive_Grid_Particle_Swarm_Optimization_Algorithm_in_Resource_Scheduling_Optimization/22814882

Optimal Frequency Control Management of Grid Integration PV/Wind/FC/Storage Battery Based Smart Grid Using Multi Objective Particle Swarm Optimization MOPSO and Model Predictive Control (MPC)

Autoren: Elgammal, Adel Ramlal, Tagore

Quelle: European Journal of Engineering and Technology Research; Vol 6 No 5 (2021); 50-56; 2736-576X

Index Begriffe: info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Peer-reviewed Article

URL: https://www.ejers.org/index.php/ejers/article/view/2507/1116
https://www.ejers.org/index.php/ejers/article/view/2507/1116

Application of multi-objective controller to optimal tuning of PID gains for a hydraulic turbine regulating system using adaptive grid particle swam optimization.

Autoren: Chen, Zhihuan Yuan, Yanbin Yuan, Xiaohui et al.

Quelle: ISA Transactions. May2015, Vol. 56, p173-187. 15p.

Schlagwörter: Hydraulic turbines, PID controllers, Tuning (Machinery), Particle swarm optimization, Water power, Adaptive computing systems

Flexible indoor scene synthesis based on multi-object particle swarm intelligence optimization and user intentions with 3D gesture.

Autoren: Li, Yuerong Wang, Xingce Wu, Zhongke et al.

Quelle: Computers & Graphics. Dec2020, Vol. 93, p1-12. 12p.

Schlagwörter: *SWARM intelligence, *PARTICLE swarm optimization, *ENERGY function, *GESTURE, *PARETO principle, *ALGORITHMS

Multi-objective particle swarm optimization algorithm based on multi-strategy improvement for hybrid energy storage optimization configuration.

Autoren: Xu, Xian-Feng Wang, Ke Ma, Wen-Hao et al.

Quelle: Renewable Energy: An International Journal. Mar2024, Vol. 223, pN.PAG-N.PAG. 1p.

Schlagwörter: *PARTICLE swarm optimization, *STRUCTURAL optimization, *ENERGY storage, *OPTIMIZATION algorithms, *DISTRIBUTED power generation, *SOLAR energy

A Multi-Objective Particle Swarm Optimization Based on Swarm Energy Conservation

Autoren: Yaoyu, Xue Liqiang, Zhao Jiahuan, Wu et al.

Quelle: Energy Procedia. Nov2011, Vol. 11, p926-933. 8p.

Schlagwörter: Particle swarm optimization, Energy shortages, Energy management, Knowledge management, Algorithms, Grid computing

Application of Multi-Objective Particle Swarm Optimization in Optimization of Subway Speed Curve. (English)

Autoren: HUANG Jiangping ZHONG Xiaojing

Quelle: Railway Standard Design; 2022, Vol. 66 Issue 9, p85-90, 6p

Schlagwörter: SUBWAYS, PUBLIC transit, PARETO principle, MATHEMATICAL optimization, MEMBERSHIP functions (Fuzzy logic), ENERGY consumption, PARTICLE swarm optimization

Adaptive Optimal Charge Strategy for Lithium-ion Power Battery Based on Multi-Objective Algorithm.

Autoren: Wang, Qiuting Wo, Qizhong Qi, Wei

Quelle: Journal of Control, Automation & Electrical Systems. Oct2021, Vol. 32 Issue 5, p1408-1416. 9p.

Schlagwörter: Lithium-ion batteries, Energy storage, Grid energy storage, Energy management, Particle swarm optimization, Physical mobility, Electric capacity

Constrained Bi-Objective Optimization with Hybrid Particle Swarm Optimization.

Autoren: Lianfeng Wang Jianshe Song Jiping Cao et al.

Quelle: International Review on Computers & Software; Sep2012, Vol. 7 Issue 5, p2762-2772, 11p

Schlagwörter: PARTICLE swarm optimization, ALGORITHMS, PROBLEM solving, ADAPTIVE computing systems, GRID computing, STOCHASTIC processes

Density-guided and adaptive update strategy for multi-objective particle swarm optimization.

Autoren: Zhang, Xiaoyan Liu, Yanmin Song, Qian et al.

Quelle: Journal of Computational Design & Engineering; Oct2024, Vol. 11 Issue 5, p222-258, 37p

Schlagwörter: PARTICLE swarm optimization, OPTIMIZATION algorithms, MATHEMATICAL optimization

A Multi-Objective Decision-Making Method for Optimal Scheduling Operating Points in Integrated Main-Distribution Networks with Static Security Region Constraints.

Autoren: Xu, Kang Liu, Zhaopeng Li, Shuaihu

Quelle: Energies (19961073); Aug2025, Vol. 18 Issue 15, p4018, 18p

Schlagwörter: SCHEDULING, RISK assessment, MULTIPLE criteria decision making, PARTICLE swarm optimization, POWER distribution networks, ELECTRICAL load, DISTRIBUTED power generation

Multi-Objective Cooperative Optimization Model for Source–Grid–Storage in Distribution Networks for Enhanced PV Absorption.

Autoren: Zhao, Pu Liu, Xiao Qu, Hanbing et al.

Quelle: Processes; Sep2025, Vol. 13 Issue 9, p2841, 28p

Schlagwörter: PHOTOVOLTAIC power systems, ENERGY storage, MULTI-objective optimization, CLEAN energy investment, VOLTAGE regulators, VOLTAGE control, MATHEMATICAL optimization

A novel multi-objective bacteria foraging optimization algorithm (MOBFOA) for multi-objective scheduling.

Autoren: Kaur, Mandeep Kadam, Sanjay

Quelle: Applied Soft Computing. May2018, Vol. 66, p183-195. 13p.

Schlagwörter: Multidisciplinary design optimization, Production scheduling, Particle swarm optimization, Evolutionary algorithms, Cloud computing

Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm.

Autoren: Liu, Hongli Li, Hao Li, Ji et al.

Quelle: Energy Science & Engineering; Nov2024, Vol. 12 Issue 11, p4904-4917, 14p

Schlagwörter: DISTRIBUTED power generation, REACTIVE power, REACTIVE power control, POWER resources, PARTICLE swarm optimization, PHOTOVOLTAIC power generation

Multi-Objective Optimization Design of Permanent Magnet Spherical Motor based on PSO-BP Neural Network.

Autoren: Xiwen Guo Ronglin Zhang Qunjing Wang et al.

Quelle: Electrotehnica, Electronica, Automatica; apr-jun2020, Vol. 62 Issue 2, p23-31, 9p

Schlagwörter: PERMANENT magnet motors, TORQUE, PARTICLE swarm optimization, FINITE element method

Parameter matching and optimization of hybrid excavator swing system.

Alternate Title: 混合动力挖掘机回转系统的参数匹配与优化. (Chinese)

Autoren: Shen, Chao Zhu, Jianxin Chen, Jian et al.

Quelle: Journal of Zhejiang University: Science A; Feb2025, Vol. 26 Issue 2, p138-150, 13p