Suchergebnisse - backbone multi-objective particle swarm optimization algorithm~

Green Building Design Optimization Based on Multi-Objective Particle Swarm Algorithm.

Autoren: Yousheng Yuan¹ yysheng19810308@163.com

Quelle: Engineering Letters. Oct2025, Vol. 33 Issue 10, p4098-4107. 10p.

Schlagwörter: *MULTI-objective optimization, *PARTICLE swarm optimization, *ENERGY consumption, *MULTIDISCIPLINARY design optimization, *SUSTAINABLE buildings, *SUSTAINABLE design, *MATHEMATICAL optimization

Setting Optimization of Distribution Network Current Protection Based on Constrained Multi‐Objectives Backbone Particle Swarm Optimization.

Autoren: Wang, Xue Luan, Kun

Quelle: IEEJ Transactions on Electrical & Electronic Engineering. Mar2024, Vol. 19 Issue 3, p318-326. 9p.

Schlagwörter: *PARTICLE swarm optimization, *CLUSTERING algorithms, *ELECTRIC power consumption, *POWER resources, *CURRENT distribution

Communication Base Station Site Selection Method Based on an Improved Genetic Algorithm.

Autoren: Li, Jinxuan Wang, Hongyan Fang, Shengliang et al.

Quelle: Electronics (2079-9292); Oct2025, Vol. 14 Issue 20, p3977, 23p

Schlagwörter: 5G networks, GENETIC algorithms, INTERFERENCE suppression, COST control, PARTICLE swarm optimization, MULTI-objective optimization

Big data-based optimized model of building design in the context of rural revitalization

Autoren: Wang Lei

Quelle: Nonlinear Engineering, Vol 14, Iss 1, Pp 2-20 (2025)

Schlagwörter: rural revitalization, backbone multi-objective particle swarm optimization algorithm, public buildings, building energy consumption, optimal design, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2192-8029

Zugangs-URL: https://doaj.org/article/f6b450e784894b7d8ba64eefe8ce85ae

Multi-objective Optimal Scheduling Analysis of Power System Based on Improved Particle Swarm Algorithm.

Autoren: Gong Mengting

Quelle: Distributed Generation & Alternative Energy Journal; 2023, Vol. 38 Issue 5, p1609-1636, 28p

Schlagwörter: PARTICLE swarm optimization, MICROGRIDS, ALGORITHMS, COST functions, PARETO principle, GRANULAR flow, MATHEMATICAL models

Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model.

Autoren: Bai, Chaoqin Yang, Zhuoyue

Quelle: Sustainable Buildings; 2024, Vol. 7, p1-13, 13p

Schlagwörter: PARTICLE swarm optimization, MULTI-objective optimization, ARCHITECTURAL design, BUILDING design & construction, ENERGY consumption

Optimization and Experimental Investigation of a Single-Actuation Compliant Morphing Trailing Edge for Multiple Aerodynamic Configurations.

Autoren: Lendraitis, Martynas Lukoševičius, Vaidas

Quelle: Actuators; Oct2025, Vol. 14 Issue 10, p498, 25p

Schlagwörter: PARTICLE swarm optimization, AERODYNAMICS, MATHEMATICAL optimization, WIND tunnel testing, EMPIRICAL research, WING-warping (Aerodynamics)

A hybrid meta-heuristic algorithm for joint edge caching and task scheduling with mobility awareness.

Autoren: Shao, Kaili Lv, Bin Wang, Bo et al.

Quelle: Cluster Computing; Feb2026, Vol. 29 Issue 1, p1-16, 16p

Schlagwörter: EDGE computing, SCHEDULING, GENETIC algorithms, METAHEURISTIC algorithms, PARTICLE swarm optimization, PHYSICAL mobility, MATHEMATICAL optimization

Reliability-aware web service composition with cost minimization perspective: a multi-objective particle swarm optimization model in multi-cloud scenarios.

Autoren: Nezafat Tabalvandani, Mohammad Ali Hosseini Shirvani, Mirsaeid Motameni, Homayun

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Mar2024, Vol. 28 Issue 6, p5173-5196, 24p

Schlagwörter: WEB services, PARTICLE swarm optimization, CLOUD computing, QUALITY of service, PARETO optimum

Optimal Placement and Sizing of Distributed PV-Storage in Distribution Networks Using Cluster-Based Partitioning.

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

Quelle: Processes; Jun2025, Vol. 13 Issue 6, p1765, 30p

Schlagwörter: PARTICLE swarm optimization, DISTRIBUTED power generation, ENERGY storage, ELECTRICAL load, PARALLEL algorithms

PE-SLAM: A Modified Simultaneous Localization and Mapping System Based on Particle Swarm Optimization and Epipolar Constraints.

Autoren: Li, Cuiming Shang, Zhengyu Wang, Jinxin et al.

Quelle: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p7097, 25p

Schlagwörter: SOLAR power plants, PARTICLE swarm optimization, IMAGE registration, POINT cloud, ALGORITHMS

An energy-aware cluster-based routing in the Internet of things using particle swarm optimization algorithm and fuzzy clustering.

Autoren: Lei, Chang

Quelle: Journal of Engineering & Applied Science; 6/15/2024, p1-25, 25p

Schlagwörter: PARTICLE swarm optimization, FUZZY algorithms, INTERNET of things, WIRELESS sensor networks, DATA transmission systems, POWER resources, ENERGY consumption

Optimization of scheduling and control for a combined cooling, heating, and power microgrid system based on GDMOPSO.

Autoren: Li, Guimin Wang, Qing Jing, Zhen et al.

Quelle: International Journal of Low Carbon Technologies; 2024, Vol. 19, p2040-2049, 10p

Schlagwörter: EVOLUTIONARY algorithms, ELECTRIC power consumption, EMISSIONS (Air pollution), POWER resources, ENERGY consumption, PARTICLE swarm optimization

Investigation of transmission line operation condition monitoring method based on firefly algorithm.

Autoren: Zhao, Mingguan Li, Meng Dong, Xinsheng et al.

Quelle: Intelligent Decision Technologies; 2024, Vol. 18 Issue 4, p3129-3142, 14p

Schlagwörter: PARTICLE swarm optimization, ELECTRIC lines, POWER resources, CONSUMPTION (Economics), OPERATING costs

Example of Using Particle Swarm Optimization Algorithm with Nelder–Mead Method for Flow Improvement in Axial Last Stage of Gas–Steam Turbine.

Autoren: Ziółkowski, Paweł Witanowski, Łukasz Głuch, Stanisław et al.

Quelle: Energies (19961073); Jun2024, Vol. 17 Issue 12, p2816, 28p

Schlagwörter: PARTICLE swarm optimization, AXIAL flow, OPTIMIZATION algorithms, TURBINES, TURBINE efficiency

An Opposition-Based Learning Adaptive Chaotic Particle Swarm Optimization Algorithm.

Autoren: Jiao, Chongyang Yu, Kunjie Zhou, Qinglei

Quelle: Journal of Bionic Engineering; Nov2024, Vol. 21 Issue 6, p3076-3097, 22p

A multi-objective particle swarm optimization algorithm for business sustainability analysis of small and medium sized enterprises.

Autoren: Abdelaziz, Fouad Ben Alaya, Houda Dey, Prasanta Kumar

Quelle: Annals of Operations Research; Oct2020, Vol. 293 Issue 2, p557-586, 30p

Schlagwörter: SMALL business, PARTICLE swarm optimization, MATHEMATICAL optimization, SUSTAINABILITY, ALGORITHMS

Geografische Kategorien: NORMANDY (France)

Optimizing Internet of Things Fog Computing: Through Lyapunov-Based Long Short-Term Memory Particle Swarm Optimization Algorithm for Energy Consumption Optimization †.

Autoren: Pan, Sheng Huang, Chenbin Fan, Jiajia et al.

Quelle: Sensors (14248220); Feb2024, Vol. 24 Issue 4, p1165, 23p

Schlagwörter: PARTICLE swarm optimization, ENERGY consumption, INTERNET of things, POWER resources

A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electricity Price.

Autoren: Pang, Xinfu Jia, Wen Li, Haibo et al.

Quelle: World Electric Vehicle Journal; Sep2024, Vol. 15 Issue 9, p398, 23p

Schlagwörter: PARTICLE swarm optimization, MONTE Carlo method, ELECTRIC power distribution grids, USER charges, RENEWABLE energy sources, MICROGRIDS

APPLICATION OF GENETIC PARTICLE SWARM OPTIMIZATION ALGORITHM IN BEARING MANUFACTURING WORKSHOP.

Autoren: Wang Yahui Xing Shaoqun Jiang Kaixin et al.

Quelle: Academic Journal of Manufacturing Engineering; 2019, Vol. 17 Issue 4, p18-25, 8p

Schlagwörter: PARTICLE swarm optimization, GENETIC algorithms, MATHEMATICAL optimization, PRODUCTION scheduling, COST functions, FLEXTIME