scholarly journals An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111923-111930 ◽  
Author(s):  
Denglong Ma ◽  
Jianmin Gao ◽  
Zaoxiao Zhang ◽  
Qingsheng Wang
Keyword(s):  
Parameter Estimation ◽  
Firefly Algorithm ◽  
Emission Source ◽  
Source Parameter ◽  
Gas Emission ◽  
Improved Firefly Algorithm

Parameter Estimation of a Mixed Production Function Model Based on Improved Firefly Algorithm and Model Application

2018 ◽  
Vol 6 (4) ◽  
pp. 336-348
Author(s):  
Maolin Cheng ◽  
Yun Han
Keyword(s):  
Economic Growth ◽  
Parameter Estimation ◽  
Production Function ◽  
Firefly Algorithm ◽  
Elasticity Of Substitution ◽  
Function Model ◽  
Constant Elasticity ◽  
Factors Affecting ◽  
Constant Elasticity Of Substitution ◽  
Improved Firefly Algorithm

Abstract In the analysis on economic growth factors, researchers usually use the production function model to calculate and measure influencing factors’ contribution rates to economic growth. Common production functions include the CD (Cobb-Douglas) production function, the CES (Constant Elasticity of Substitution) production function, the VES (Variable Elasticity of Substitution) production function, and so on. In consideration of the diversity and complementarity of models, the paper combines the CD production function with the CES production function and then proposes a mixed production function. With regard to the parameter estimation of model, the paper gives an improved firefly algorithm with the high precision and a fast rate of convergence. With regard to the calculation of factors’ contribution rates, traditional methods generally have big errors and are not applicable to complicated models, so the paper offers a new method which can calculate contribution rates scientifically. Finally, the paper calculates the contribution rates of factors affecting Chinese economic growth and gets a good result.

A multi-objective optimization operation strategy for ice-storage air-conditioning system based on improved firefly algorithm

2021 ◽  
pp. 014362442110455
Author(s):  
Xinwei Zhou ◽  
Junqi Yu ◽  
Wanhu Zhang ◽  
Anjun Zhao ◽  
Min Zhou
Keyword(s):  
Energy Saving ◽  
Economic Benefit ◽  
Air Conditioning ◽  
Firefly Algorithm ◽  
Optimal Operation ◽  
Ice Storage ◽  
Operation Strategy ◽  
Multi Objective Optimization ◽  
Air Conditioning System ◽  
Improved Firefly Algorithm

Reasonable distribution of cooling load between chiller and ice tank is the key to realize the economical and energy-saving operation of ice-storage air-conditioning (ISAC) system. A multi-objective optimization model based on improved firefly algorithm (IFA) was established in this study to fully exploit the energy-saving potential and economic benefit of the ISAC system. The proposed model took the partial load rate of each chiller and the cooling ratio of the ice tank as optimization variables, and the lowest energy consumption loss rate and the lowest operating cost of the ISAC system were calculated. Chaotic logic self-mapping was used to initialize population to avoid falling into local optimum, and Cauchy mutation was used to increase the population’s diversity to improve the algorithm’s global search ability. The experimental results show that compared with the operation strategy based on constant proportion, particle swarm optimization (PSO) algorithm, and firefly algorithm (FA), the optimal operation strategy based on IFA can achieve more significant energy-saving and economic benefits. Meanwhile, the convergence accuracy and stability of the algorithm are significantly improved. Practical application: The optimized operation strategy of the ice-storage air-conditioning system can reduce energy loss and operating costs. The traditional operation strategies have the problems of low optimization precision and poor optimization effect. Therefore, this study presents an optimal operation strategy based on IFA. The convergence accuracy and stability of the algorithm are increased after the algorithm is improved. The operation strategy can get the maximum energy-saving effect and economic benefit of the ISAC system.

Sign in / Sign up

Export Citation Format

Share Document