Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems

Author(s):  
Robin Roche ◽  
Lhassane Idoumghar ◽  
Benjamin Blunier ◽  
Abdellatif Miraoui
2013 ◽  
Vol 37 (2) ◽  
pp. 232-242 ◽  
Author(s):  
Ehsan Bijami ◽  
Morteza Jadidoleslam ◽  
Akbar Ebrahimi ◽  
Javad Askari ◽  
Malihe Maghfoori Farsangi

Author(s):  
Ghasem Mokhtari ◽  
◽  
Ahmad Javid Ghanizadeh ◽  
Esmaeil Ebrahimi ◽  
◽  
...  

2015 ◽  
Vol 15 (2) ◽  
pp. 6541-6545
Author(s):  
Saeid Jalilzadeh ◽  
Saman Nikkhah

Measurement Imperialist Competitive Algorithm (ICA) is a  population based stochastic optimization technique, originallydeveloped by Eberhart and Kennedy, inspired by simulation of a social psychological metaphor instead of the survival of the fittest individual. In ICA, the system (imperialists) is initialized with a population of random solutions (colonies) and searches for optimal using cognitive and social factors by updating generations. ICA has been successfully applied to a wide range of applications, mainly in solving continuous nonlinear optimization problems. Based on the ICA, this paper discusses the use of ICA approach to optimize performance of economic dispatch problems. The proposed method is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects


2018 ◽  
Vol 11 (1) ◽  
pp. 57 ◽  
Author(s):  
Dieu Tien Bui ◽  
Himan Shahabi ◽  
Ataollah Shirzadi ◽  
Kamran Kamran Chapi ◽  
Nhat-Duc Hoang ◽  
...  

The authors wish to make the following corrections to this paper [...]


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