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

Metaheuristics for Portfolio Optimization: Application of NSGAII, SPEA2, and PSO Algorithms.

Autoren: Abdallah, Ameni Ben Hadj Bedoui, Rihab Boubaker, Heni

Quelle: Risks; Nov2025, Vol. 13 Issue 11, p227, 19p

Schlagwörter: PORTFOLIO management (Investments), ASSET allocation, EVOLUTIONARY algorithms, PARTICLE swarm optimization, INVESTMENT policy, METAHEURISTIC algorithms, MULTI-objective optimization, WAR

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

Evolutionary neural architecture search based on a modified particle swarm optimization.

Autoren: Gong, Tao Wang, Liang Ma, Yongjie

Quelle: International Journal of Machine Learning & Cybernetics; Oct2025, Vol. 16 Issue 10, p7793-7808, 16p

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

Elevating manufacturing excellence with multilevel optimization in smart factory cloud computing using hybrid model.

Autoren: Vaidya, Saurabh Jethava, Gordhan

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-25, 25p

Schlagwörter: ARTIFICIAL intelligence, REAL-time computing, PARTICLE swarm optimization, CLOUD storage, INFORMATION storage & retrieval systems

Multi-Objective Optimization of Off-Grid Hybrid Renewable Energy Systems for Sustainable Agricultural Development in Sub-Saharan Africa.

Autoren: Cherif Bilio, Tom Adoum Abdoulaye, Mahamat Waita, Sebastian

Quelle: Energies (19961073); Oct2025, Vol. 18 Issue 19, p5058, 44p

Schlagwörter: MULTI-objective optimization, SUSTAINABLE agriculture, COMMUNITY development, PARTICLE swarm optimization, CARBON dioxide mitigation, ENERGY industries, SUB-Saharan Africans, HYBRID power systems

Geografische Kategorien: AFRICA, CHAD, SUB-Saharan Africa

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

Optimized deep learning framework for pomegranate disease detection using nature-inspired algorithms.

Autoren: Sandhi, Anil Kumar, Rajeev Bhardwaj, Reeta et al.

Quelle: Plant Methods; 10/3/2025, Vol. 21 Issue 1, p1-36, 36p

Schlagwörter: DEEP learning, POMEGRANATE, IMAGE processing, PRECISION farming, BIOLOGICALLY inspired computing, OPTIMIZATION algorithms, PARTICLE swarm optimization

DERIVATION OF SENSITIVITY-BASED OPTIMIZATION OF PID AND FUZZY REGULATOR IN HYBRID PV/WIND SYSTEM THROUGH ADAPTIVE PARTICLE SWARM INTELLIGENCE.

Autoren: Kumbhakar, Shyamal Banerjee, Abhik

Quelle: Lex Localis: Journal of Local Self-Government; 2025 Supplement, Vol. 23 Issue S6, p3316-3329, 14p

Schlagwörter: PID controllers, PARTICLE swarm optimization, SENSITIVITY analysis, MATHEMATICAL optimization, HYBRID power systems, PHOTOVOLTAIC power generation, FUZZY logic, WIND power

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)

Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm.

Autoren: Guan, Zhong Wang, Hui Li, Zhi et al.

Quelle: Energies (19961073); Apr2024, Vol. 17 Issue 7, p1760, 20p

Schlagwörter: MICROGRIDS, SMART power grids, ELECTRIC power consumption, ENVIRONMENTAL protection, PARTICLE swarm optimization, ENERGY consumption, ENVIRONMENTAL economics

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

Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability.

Autoren: Raut, Jayant M. Pande, Prashant B. Madurwar, Kamlesh V. et al.

Quelle: Scientific Reports; 7/11/2025, Vol. 15 Issue 1, p1-18, 18p

Schlagwörter: SUSTAINABILITY, PRODUCT life cycle assessment, GAUSSIAN processes, MULTIPLE criteria decision making, ENVIRONMENTAL impact analysis, PARTICLE swarm optimization, THREE-dimensional printing

Modeling of Wastewater Treatment and Dynamic Optimization Control of Dissolved Oxygen Concentration in Aeration Tanks.

Autoren: Ding, Wanjie Liu, Zhao Wang, Xiaohong

Quelle: Journal of Environmental Engineering; Sep2025, Vol. 151 Issue 9, p1-31, 31p

Schlagwörter: MACHINE learning, OPTIMIZATION algorithms, AERATION tanks, EFFLUENT quality, PARTICLE swarm optimization

Multi-objective planning for optimal location, sizing, and power factor of distributed generators with capacitor banks in unbalanced power distribution networks.

Autoren: Saurav, Pappu Kumar Mansani, Swapna Kayal, Partha

Quelle: Electrical Engineering; Mar2025, Vol. 107 Issue 3, p2411-2434, 24p

Schlagwörter: POWER distribution networks, CAPACITOR banks, MULTI-objective optimization, PARTICLE swarm optimization, ELECTRICAL energy

Capacity optimization configuration and multi-dimensional value evaluation of integrated energy system with power-to-hydrogen.

Autoren: Pan, Kuiyuan Sun, Tianhe Pang, Xinfu et al.

Quelle: PLoS ONE; 4/17/2025, Vol. 20 Issue 4, p1-28, 28p

Schlagwörter: PARTICLE swarm optimization, ANALYTIC hierarchy process, VALUE (Economics), STRUCTURAL optimization, ENERGY development

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