Suchergebnisse - "Improved multi-objective particle swarm algorithm"

Optimization of Heliostat Field Layout Using an Improved Multi-Objective Particle Swarm Algorithm

Autoren: Bin Luo Chenglong Wang

Quelle: Proceedings of the 2025 5th International Conference on Automation Control, Algorithm and Intelligent Bionics. :187-192

Improved Multi-objective Particle Swarm Algorithm Combined with North Goshawk Optimization Hyperparametric Optimization Least Squares Support Vector Machines for Linear Motors

Autoren: Cheng Wen Jian Cui Mingye Li et al.

Improved Multi-objective Particle Swarm Algorithm for AUV Path Planning in Ocean Currents Environment

Autoren: Nana Niu Bing Sun Zinan Su

Quelle: Lecture Notes in Computer Science ISBN: 9789819607914

Scheduling Optimization of a Regionally Integrated Energy System Based on Improved Multi-Objective Particle Swarm Algorithm

Autoren: Haojie Cheng xiaoming zhang Peihong Yang et al.

Optimal design of right-angle viscoelastic dampers for seismic performance of ancient timber structure via improved multi-objective particle swarm algorithm

Autoren: Junhong Xu Dongbing Sun Enzhao Liu et al.

Quelle: Structures. 77:109123

Optimal Siting and Capacity Allocation of BESS Based on Improved Multi-objective Particle Swarm Algorithm

Autoren: Jianlin Li Jingyue Kang Yaxin Li et al.

Quelle: Lecture Notes in Electrical Engineering ISBN: 9789819910267

Optimal allocation model of port emergency resources based on the improved multi-objective particle swarm algorithm and TOPSIS method

Autoren: Jianqun, Guo Zhonglian, Jiang Jianglong, Ying et al.

Quelle: Marine Pollution Bulletin. 209:117214

Schlagwörter: China, Petroleum Pollution, Models, Theoretical, Algorithms, Ships, Resource Allocation

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39500175

Optimization of deep excavation construction using an improved multi-objective particle swarm algorithm

Autoren: Fanli Meng Jiayi Xu Changqing Xia et al.

Quelle: Automation in Construction. 166:105613

Path planning based on improved multi-objective particle swarm algorithm

Autoren: Bin Zhang Yi Zhang Yusen Wang et al.

Quelle: 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). :1005-1009

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/9141911/

Optimization of Renewable Energy Hydrogen Production Systems Using Volatility Improved Multi-Objective Particle Swarm Algorithm

Autoren: Hui Wang Xiaowen Chen Qianpeng Yang et al.

Quelle: Energies, Vol 17, Iss 10, p 2384 (2024)

Schlagwörter: wind–solar coupling, hybrid hydrogen production, fluctuation characteristics, improved algorithm, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/10/2384; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/0ccb1e643f284d7498b68355a408e393

基于系统辨识和改进多目标粒子群算法的水泥原料配比优化. (Chinese)

Alternate Title: Optimization of Cement Raw Material Ratio Based on System Identification and Improved Multi-objective Particle Swarm Algorithm. (English)

Autoren: 秦红斌 陈龙 唐红涛 et al.

Quelle: Control Engineering of China; Jul2025, Vol. 32 Issue 7, p1260-1270, 11p

Stochastic optimal operation and improved multi-objective particle swarm algorithm for water supply and environment

Autoren: J He S Gu W Tan

Quelle: Progress in Civil, Architectural and Hydraulic Engineering IV ISBN: 9781138029163

Optimal allocation model of port emergency resources based on the improved multi-objective particle swarm algorithm and TOPSIS method.

Autoren: Guo, Jianqun Jiang, Zhonglian Ying, Jianglong et al.

Quelle: Marine Pollution Bulletin. Dec2024:Part B, Vol. 209, pN.PAG-N.PAG. 1p.

Schlagwörter: Particle swarm optimization, TOPSIS method, Water pollution, Environmental management, Resource allocation

Optimization of Renewable Energy Hydrogen Production Systems Using Volatility Improved Multi-Objective Particle Swarm Algorithm.

Autoren: Wang, Hui Chen, Xiaowen Yang, Qianpeng et al.

Quelle: Energies (19961073); May2024, Vol. 17 Issue 10, p2384, 14p

Schlagwörter: PARTICLE swarm optimization, HYDROGEN as fuel, HYDROGEN production, RENEWABLE energy sources, METHANOL as fuel, ARCHITECTURAL models, STORAGE batteries, INDUSTRIAL capacity

Geografische Kategorien: QINGHAI Sheng (China)

A port-hinterland hub network design method for reefer containers considering time-varying demands and diverse supporting service requirements.

Autoren: Xu, Xinglu Wang, Wenyuan Liu, Keke et al.

Quelle: International Journal of Production Research; Oct2025, Vol. 63 Issue 20, p7525-7549, 25p

Schlagwörter: NETWORK performance, REFRIGERATED containers, MULTI-objective optimization, INTERMODAL freight terminals, ECONOMIC seasonal variations

Optimization of Sailing Speed for Inland Electric Ships Based on an Improved Multi-Objective Particle Swarm Optimization (MOPSO) Algorithm

Autoren: Kang Zhang Chenguang Liu Zhibo He et al.

Quelle: Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1417 (2024)

Schlagwörter: inland electric ship, speed optimization, K-means waterway segmentation, improved multi-objective particle swarm algorithm, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

Relation: https://www.mdpi.com/2077-1312/12/8/1417; https://doaj.org/toc/2077-1312; https://doaj.org/article/4fb3ecea53a94a22bd5d6712aefab775

Verfügbarkeit: https://doi.org/10.3390/jmse12081417
https://doaj.org/article/4fb3ecea53a94a22bd5d6712aefab775

基于改进多目标粒子群算法的风力机大厚度翼型优化设计.

Alternate Title: Optimization of Wind Turbine Thick Airfoils Using Improved Multi-objective Particle Swarm Algorithm.

Autoren: 陈进 郭小锋 孙振业 et al.

Quelle: Journal of Northeastern University (Natural Science). Feb2016, Vol. 37 Issue 2, p232-236. 5p.

Research on the Design of Multi-Objective Decision Optimization Model and Legal Suitability in Environmental Legal Dispute Resolution.

Autoren: Zheng, Wenting

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p1327-1345, 19p

Schlagwörter: MULTI-objective optimization, TOPSIS method, CONFLICT management, LEGAL compliance, PARTICLE swarm optimization, ENVIRONMENTAL law, SUSTAINABILITY, SUSTAINABLE development

环线电动公交车辆调度与司机排班的联合优化. (Chinese)

Alternate Title: Joint Optimization of Loop Line Electric Bus Vehicle Scheduling and Driver Scheduling. (English)

Autoren: 胡宝雨 齐月 贾佃精 et al.

Quelle: Journal of South China University of Technology (Natural Science Edition); Jun2025, Vol. 53 Issue 6, p91-103, 13p

Schlagwörter: LINEAR programming, NONLINEAR programming, INTEGER programming, PUBLIC transit, PRODUCTION scheduling, PARTICLE swarm optimization

数据驱动的含高比例户用光伏的低压台区 电压协调控制策略. (Chinese)

Alternate Title: Data-driven Voltage Coordination Control Strategy for Low-voltage Distribution Networks with High Household Photovoltaics Penetration. (English)

Autoren: 杨雷 王献军 王子鉴 et al.

Quelle: Electric Drive; 2025, Vol. 55 Issue 5, p51-60, 10p

Schlagwörter: POWER distribution networks, VOLTAGE control, ENERGY storage, ELECTRICAL load, LEAST squares