Suchergebnisse - adaptive grid multi-objective particle swarm optimization algorithm*

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

Autoren: Xiaoyan Zhang Yanmin Liu Qian Song et al.

Quelle: Journal of Computational Design and Engineering. 11:222-258

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

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

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

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

Application of a Heuristic Model (PSO—Particle Swarm Optimization) for Optimizing Surface Water Allocation in the Machángara River Basin, Ecuador.

Autoren: Veintimilla-Reyes, Jaime Guerrero, Berenice Maldonado-Segarra, Daniel et al.

Quelle: Water (20734441); Aug2025, Vol. 17 Issue 16, p2481, 26p

Schlagwörter: PARTICLE swarm optimization, WATER management, RESERVOIR ecology, METAHEURISTIC algorithms, WATERSHEDS, RESOURCE management

Geografische Kategorien: ECUADOR

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

Enhancing Urban Drainage Resilience Through Holistic Stormwater Regulation: A Review.

Autoren: Xie, Jiankun Qiang, Wei Lin, Yiyuan et al.

Quelle: Water (20734441); May2025, Vol. 17 Issue 10, p1536, 28p

Schlagwörter: URBAN runoff management, OPTIMIZATION algorithms, MULTI-objective optimization, CLIMATE change, INTELLIGENT control systems, PARTICLE swarm optimization

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

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

Adaptive PID Control of Hydropower Units Based on Particle Swarm Optimization and Fuzzy Inference.

Autoren: Liu, Dong Zhao, Shichao Zhang, Jingjing

Quelle: Water (20734441); May2025, Vol. 17 Issue 10, p1512, 25p

Schlagwörter: PARTICLE swarm optimization, ADAPTIVE control systems, FUZZY logic, WATER power, PROBLEM solving

Intelligent Identification Method of Valve Internal Leakage in Thermal Power Station Based on Improved Kepler Optimization Algorithm-Support Vector Regression (IKOA-SVR).

Autoren: Jia, Fengsheng Jin, Tao Guo, Ruizhou et al.

Quelle: Computation; Nov2025, Vol. 13 Issue 11, p251, 26p

Schlagwörter: LEAK detection, OPTIMIZATION algorithms, SUPPORT vector machines, STEAM power plants, RELIABILITY in engineering, GENERALIZATION

A Bi-Level Optimization Framework for Water Supply Network Repairs Considering Traffic Impact.

Autoren: Hu, Qunfang Zhang, Yu

Quelle: Water (20734441); Mar2025, Vol. 17 Issue 6, p832, 21p

Schlagwörter: ANT algorithms, INFRASTRUCTURE (Economics), WATER supply management, PARTICLE swarm optimization, TRAVEL time (Traffic engineering)

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

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

Autoren: Yuehua Huang Yanbin Yuan Zhihuan Chen et al.

Quelle: ISA Transactions. 56:173-187

Schlagwörter: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/25481821
https://www.ncbi.nlm.nih.gov/pubmed/25481821
https://pubmed.ncbi.nlm.nih.gov/25481821/
https://www.sciencedirect.com/science/article/pii/S0019057814002602
http://www.sciencedirect.com/science/article/pii/S0019057814002602
https://europepmc.org/article/MED/25481821

Optimizing Ecological Water Replenishment in Xianghai Wetlands Using CNN-LSTM and PSO Algorithm Under Secondary Salinization Constraints.

Autoren: Song, Zhuo Luo, Jiannan Ma, Xi

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1886, 27p

Schlagwörter: SALINIZATION, PARTICLE swarm optimization, GROUNDWATER analysis, WETLANDS, BIODIVERSITY conservation, SUSTAINABILITY, WETLAND hydrology, LONG short-term memory

Geografische Kategorien: CHINA