An Atomic Model Based Optimization Algorithm

2016 ◽  
Author(s):  
Anupam Biswas ◽  
Bhaskar Biswas ◽  
Krishn Kumar Mishra
Keyword(s):  
Optimization Algorithm ◽  
Atomic Model ◽  
Model Based

Grey Model Based Particle Swarm Optimization Algorithm for Anticorrosion Reliability Design of Underground Pipelines

2010 ◽  
Vol 118-120 ◽  
pp. 541-545
Author(s):  
Qin Ming Liu ◽  
Ming Dong
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Failure Modes ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Grey Model ◽  
Swarm Optimization ◽  
Reliability Design ◽  
Model Based ◽  
Underground Pipelines

This paper explores the grey model based PSO (particle swarm optimization) algorithm for anti-cauterization reliability design of underground pipelines. First, depending on underground pipelines’ corrosion status, failure modes such as leakage and breakage are studied. Then, a grey GM(1,1) model based PSO algorithm is employed to the reliability design of the pipelines. One important advantage of the proposed algorithm is that only fewer data is used for reliability design. Finally, applications are used to illustrate the effectiveness and efficiency of the proposed approach.

Logit Model based Performance Analysis of an Optimization Algorithm

2011 ◽  
Author(s):  
J. A. Hernández ◽  
J. D. Ospina ◽  
D. Villada ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Optimization Algorithm ◽  
Logit Model ◽  
Model Based

Research of Generated Power Forecasting Model Based on the Fusion of Elman NN and ACOA for Photovoltaic System

2013 ◽  
Vol 392 ◽  
pp. 628-631
Author(s):  
Xian Jia Zhao ◽  
Ling Yun Wen ◽  
Han Yu Cai
Keyword(s):  
Neural Networks ◽  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Dynamic Performance ◽  
Photovoltaic System ◽  
Forecasting Model ◽  
Ant Colony Optimization Algorithm ◽  
Model Based ◽  
Calculation Ability ◽  
Power Forecasting

A new generated power forecasting model based on the fusion of Elman neural networks (Elman NN) and ant colony optimization algorithm (ACOA) for photovoltaic system are presented in this paper. Elman NN owns stronger dynamic performance and calculation ability. And it can characterize complicated dynamics behavior. ACOA was used to optimize to improve the generalization performance of Elman NN model. The testing results show that new approaches can improve effectively the precision of generated power forecasting.

Sign in / Sign up

Export Citation Format

Share Document