Suchergebnisse - (particle OR articles) swarm optimization algorithm with linear decreasing inertia weight~

Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling.

Autoren: Li, Bo Liao, Yaohua Liu, Siyang et al.

Quelle: Energies (19961073). Feb2025, Vol. 18 Issue 3, p516. 23p.

Schlagwörter: *LONG short-term memory, *STANDARD deviations, *PARTICLE swarm optimization, *ELECTRIC power distribution grids, *COUPLINGS (Gearing)

市场机制下光伏/小水电/抽水蓄能电站系统容量优化配置

Autoren: Luo, Shihua Hu, Weihao Huang, Qi et al.

Quelle: Luo, S, Hu, W, Huang, Q, Han, X & Chen, Z 2020, '市场机制下光伏/小水电/抽水蓄能电站系统容量优化配置', Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, bind 35, nr. 13, s. 2792-2804. https://doi.org/10.19595/j.cnki.1000-6753.tces.191843

Schlagwörter: Hybrid energy system, Sequential quadratic programming algorithm, Bi-level programming model, Particle swarm optimization algorithm with linear decreasing inertia weight

一种多样性驱动的自适应粒子群优化算法.

Alternate Title: A diversity driven adaptive particle swarm optimization algorithm.

Autoren: 宗 敏 杨玉群 徐 刚

Quelle: Journal of Nanchang University (Natural Science). Aug2022, Vol. 46 Issue 4, p386-391. 6p.

Schlagwörter: *PARTICLE swarm optimization, *GLOBAL optimization, *MATHEMATICAL optimization, *TRAFFIC safety, *ALGORITHMS

A Task Scheduling Approach based on Particle Swarm Optimization for the Production of Remote Sensing Products.

Autoren: Yan-e Hou Wenwen He Xianyu Zuo et al.

Quelle: IAENG International Journal of Computer Science. Mar2023, Vol. 50 Issue 1, p23-31. 9p.

Schlagwörter: Particle swarm optimization, Ant algorithms, Remote sensing, Mathematical optimization, Scheduling

Efficient Thermal-Stress Coupling Design of Chiplet-Based System with Coaxial TSV Array.

Autoren: Wang, Xianglong Su, Jiaming Chen, Dongdong et al.

Quelle: Micromachines; Aug2023, Vol. 14 Issue 8, p1493, 11p

Schlagwörter: PARTICLE swarm optimization, SUPPORT vector machines, THERMAL stresses, INERTIA (Mechanics)

Covid-19 Forecasting Using CNN Approach With A Halbinomial Distribution And A Linear Decreasing Inertia Weight-Based Cat Swarm Optimization.

Autoren: Murugesan, Rajesh Khanna Madhu, Karthikeyan Sambandam, Jayalakshmi et al.

Quelle: International Journal of Computers, Communications & Control. Feb2023, Vol. 18 Issue 1, p1-17. 17p.

Schlagwörter: COVID-19 pandemic, Binomial distribution, Particle swarm optimization, Convolutional neural networks, COVID-19, Artificial intelligence, Forecasting, Linear codes

Geografische Kategorien: India

Multi-objective optimization model and algorithm implementation of the distributed power generation system for renewable energy in China and Russia.

Autoren: Yingkai Ma

Quelle: Unconventional Resources; Jul2025, Vol. 7, p1-12, 12p

Schlagwörter: LONG short-term memory, MULTI-objective optimization, ENERGY consumption, DEEP learning, ENERGY industries, PARTICLE swarm optimization, DIFFERENTIAL evolution

Effects of Random Values for Particle Swarm Optimization Algorithm.

Autoren: Dai, Hou-Ping Chen, Dong-Dong Zheng, Zhou-Shun

Quelle: Algorithms; Feb2018, Vol. 11 Issue 2, p23, 20p

Schlagwörter: PARTICLE swarm optimization, MATHEMATICAL optimization, COMBINATORIAL optimization, GENETIC algorithms, SWARM intelligence

基于改进粒子群算法的齿轮传动优化设计研究.

Alternate Title: Optimization design of gear transmission based on improved particle swarm optimization algorithm.

Autoren: 王纯 韩加好 吉庆

Quelle: Journal of Mechanical & Electrical Engineering. Feb2021, Vol. 38 Issue 2, p239-244. 6p.

On the performance of linear decreasing inertia weight particle swarm optimization for global optimization.

Autoren: Arasomwan MA Adewumi AO

Quelle: TheScientificWorldJournal [ScientificWorldJournal] 2013 Oct 31; Vol. 2013, pp. 860289. Date of Electronic Publication: 2013 Oct 31 (Print Publication: 2013).

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Wiley Country of Publication: United States NLM ID: 101131163 Publication Model: eCollection Cited Medium: Internet ISSN: 1537-744X (Electronic) Linking ISSN: 1537744X NLM ISO Abbreviation: ScientificWorldJournal Subsets: MEDLINE

MeSH-Schlagworte: Behavior, Animal*, Algorithms ; Animals ; Birds/physiology ; Models, Theoretical

Total organic carbon content prediction based on support-vector-regression machine with particle swarm optimization.

Autoren: Rui, Jianwen Zhang, Hongbing Zhang, Dailu et al.

Quelle: Journal of Petroleum Science & Engineering. Sep2019, Vol. 180, p699-706. 8p.

Schlagwörter: *PARTICLE swarm optimization, *DATA logging, *MULTILAYER perceptrons, *SUPPORT vector machines, *MATHEMATICAL optimization, *KERNEL functions, *SUPERVISED learning

Global minimization of multi-funnel functions using particle swarm optimization.

Autoren: Salahi, Maziar Jamalian, Ali Taati, Akram

Quelle: Neural Computing & Applications; Dec2013, Vol. 23 Issue 7/8, p2101-2106, 6p

Schlagwörter: GLOBAL optimization, STACKS (Naval architecture), COMPUTATIONAL biology, PARTICLE swarm optimization, ALGORITHMS, CONVEX programming, ARTIFICIAL neural networks

Coordinated control of active front steering and active disturbance rejection sliding mode-based DYC for 4WID-EV.

Autoren: Feng, Tao Wang, Yunpeng Li, Qing

Quelle: Measurement & Control (0020-2940); Nov/Dec2020, Vol. 53 Issue 9/10, p1870-1882, 13p

Schlagwörter: PARTICLE swarm optimization, LATERAL loads, MOTOR vehicle tires, SLIDING mode control, AUTOMOBILE steering gear, MATHEMATICAL optimization, PID controllers, ELECTRIC vehicles

Parallel heuristic search strategy based on a Bayesian approach for simultaneous recognition of contaminant sources and aquifer parameters at DNAPL-contaminated sites.

Autoren: Lu, Wenxi Wang, Han Li, Jiuhui

Quelle: Environmental Science & Pollution Research; Oct2020, Vol. 27 Issue 29, p37134-37148, 15p

Schlagwörter: MONTE Carlo method, HEURISTIC, PROBABILITY density function, PARTICLE swarm optimization, AQUIFERS, AQUIFER pollution, DIFFERENTIAL evolution

基于改进粒子群算法的时间最优机械臂轨迹规划. (Chinese)

Alternate Title: Time-Optimal Trajectory Planning for Manipulator Based on Improved Particle Swarm Optimization Algorithm. (English)

Autoren: 黄超 茅健 马丽 et al.

Quelle: Journal of Shanghai University of Engineering Science / Shanghai Gongcheng Jishu Daxue Xuebao; Sep2020, Vol. 34 Issue 3, p238-246, 9p

Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators.

Autoren: Wang, Shengliang Liu, Genyou Gao, Ming et al.

Quelle: Information Sciences. Nov2020, Vol. 540, p175-201. 27p.

Schlagwörter: *GROUP decision making, *ALGORITHMS, EVOLUTIONARY algorithms, BENCHMARK problems (Computer science), PARTICLES

Study of the Magnetic Properties of Haematite Based on Spectroscopy and the IPSO-ELM Neural Network.

Autoren: Mao, Yachun Liu, Chongmin Xiao, Dong et al.

Quelle: Journal of Sensors; 11/28/2018, p1-9, 9p

Schlagwörter: HEMATITE, MAGNETIC properties, SPECTRUM analysis, NEURAL circuitry, METALS

A hybrid DPSO with Levy flight for scheduling MIMO radar tasks.

Autoren: Zhang, Haowei Xie, Junwei Hu, Qiyong et al.

Quelle: Applied Soft Computing. Oct2018, Vol. 71, p242-254. 13p.

Schlagwörter: MIMO radar, Particle swarm optimization, Availability heuristic, Algorithms

Covid-19 Forecasting with Deep Learning-based Half-binomial Distribution Cat Swarm Optimization.

Autoren: Renukadevi, P. Kannan, A. Rajiv

Quelle: Computer Systems Science & Engineering. 2023, Vol. 44 Issue 1, p629-645. 17p.

Schlagwörter: Deep learning, COVID-19 pandemic, Binomial distribution, Machine learning, Short-term memory, Convolutional neural networks

Comparative study of the use of fuzzy logic in improving particle swarm optimization variants for mathematical functions using co-evolution.

Autoren: Valdez, Fevrier Vazquez, Juan Carlos Melin, Patricia et al.

Quelle: Applied Soft Computing. Mar2017, Vol. 52, p1070-1083. 14p.

Schlagwörter: Fuzzy logic, Particle swarm optimization, Mathematical functions, Fish schooling, Stochastic convergence