Search Results - subject:"Particle Swarm Optimization"

A hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems : a case study for solar cell industry

Chen, Yin-yyann; Cheng, Chen-yang; Wang, Li-chih; Chen, … - In: International journal of production economics 141 (2013) 1, pp. 66-78

Persistent link: https://www.econbiz.de/10009685689

Particle swarm optimization : an alternative for parameter estimation in regression

Cobos Silva, Sergio Gerardo de los; Terceño-Gómez, A.; … - In: Fuzzy economic review : the review of the International … 18 (2013) 2, pp. 19-32

Persistent link: https://www.econbiz.de/10010360124

An efficient hybrid artificial bee colony algorithm for customer segmentation in mobile e-commerce

Deng, Xiaoyi - In: Journal of electronic commerce in organizations : the … 11 (2013) 2, pp. 53-63

Persistent link: https://www.econbiz.de/10010187136

Evolutionary neural networks for strategic bidding in electricity markets

Ranjan Hota, Ashish; Bajpai, Prabodh; Pratihar, Dilip Kumar - In: International Journal of Energy Sector Management 6 (2012) 3, pp. 321-342

trained using a particle swarm optimization (PSO) algorithm with the objective of maximizing daily profit for the Genco …

Persistent link: https://www.econbiz.de/10014773549

Wind farm micro-siting by Gaussian particle swarm optimization with local search strategy

Wan, Chunqiu; Wang, Jun; Yang, Geng; Gu, Huajie; Zhang, Xing - In: Renewable Energy 48 (2012) C, pp. 276-286

promising region achieved by the particle swarm optimization. A simple feasibility-based method is employed to compare the … swarm optimization algorithm is proposed to optimize the positions of turbines in the continuous space. To prevent the … of wake effects is strong and the number of position constraints between turbines is large. An improved Gaussian particle …

Persistent link: https://www.econbiz.de/10010806277

Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

Chowdhury, Souma; Zhang, Jie; Messac, Achille; … - In: Renewable Energy 38 (2012) 1, pp. 16-30

using constrained Particle Swarm Optimization (PSO). It is found that an optimal combination of wind turbines with differing …

Persistent link: https://www.econbiz.de/10010806442

Control of wind turbine power and vibration with a data-driven approach

Kusiak, Andrew; Zhang, Zijun - In: Renewable Energy 43 (2012) C, pp. 73-82

in the presence of constraints. A particle swarm optimization algorithm is applied to optimize the model. …

Persistent link: https://www.econbiz.de/10010806519

Blade layers optimization of wind turbines using FAST and improved PSO Algorithm

Liao, C.C.; Zhao, X.L.; Xu, J.Z. - In: Renewable Energy 42 (2012) C, pp. 227-233

this model. Besides, an improved particle swarm optimization (PSO) algorithm, which has better optimization capability and …

Persistent link: https://www.econbiz.de/10010806536

Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization

Soares, J.; Silva, M.; Sousa, T.; Vale, Z.; Morais, H. - In: Energy 42 (2012) 1, pp. 466-476

methodology called Signaled Particle Swarm Optimization (SiPSO) to address the energy resources management problem in the scope of …, namely MINLP, Genetic Algorithm, original Particle Swarm Optimization (PSO), Evolutionary PSO, and New PSO. SiPSO performance …

Persistent link: https://www.econbiz.de/10010808019

A hybrid procedure for energy demand forecasting in China

Yu, Shi-wei; Zhu, Ke-jun - In: Energy 37 (2012) 1, pp. 396-404

, exponential, and quadratic. To obtain better parameters, an improved hybrid algorithm called PSO-GA (particle swarm optimization …

Persistent link: https://www.econbiz.de/10010809382