Suchergebnisse - adaptive grid multi-objective articles swarm optimization algorithm

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

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

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

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

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

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

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

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

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

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 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

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

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

Particle Swarm Optimization Algorithm With Self-Organizing Mapping for Nash Equilibrium Strategy in Application of Multiobjective Optimization.

Autoren: Zhao, Chenhui Guo, Donghui

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Nov2021, Vol. 32 Issue 11, p5179-5193, 15p

Schlagwörter: NASH equilibrium, PARTICLE swarm optimization, MATHEMATICAL optimization, SELF-organizing maps, RECURSIVE functions, EQUILIBRIUM

基于自适应网格多目标鲸鱼算法的火力分配问题研究. (Chinese)

Alternate Title: Research on Firepower Assignment Problem Based on Adaptive Grid Multi-objective Whale Algorithm. (English)

Autoren: 佘 维 王业腾 孔德锋 et al.

Quelle: Journal of Zhengzhou University (Natural Science Edition); Nov2024, Vol. 56 Issue 6, p17-24, 8p

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