Artificial Bee Colony and Genetic Algorithm for Optimization of Non-smooth Economic Load Dispatch with Transmission Loss

2021 ◽  
pp. 271-287
Author(s):  
Mohammad Hanif ◽  
Nur Mohammad
Keyword(s):  
Genetic Algorithm ◽  
Artificial Bee Colony ◽  
Transmission Loss ◽  
Economic Load Dispatch ◽  
Bee Colony

scholarly journals Artificial bee colony algorithm for economic load dispatch with wind power energy

2016 ◽  
Vol 13 (3) ◽  
pp. 347-360 ◽  
Author(s):  
Amin Safari ◽  
Davoud Sheibai
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Artificial Bee Colony ◽  
Economic Load Dispatch ◽  
Power Networks ◽  
Power Generator ◽  
Bee Colony ◽  
Wind Power Generator

This paper presents an efficient Artificial Bee Colony (ABC) algorithm for solving large scale economic load dispatch (ELD) problems in power networks. To realize the ELD, the valve-point loading effect, system load demand, power losses, ramp rate limits and prohibited operation zones are considered here. Simulations were performed on four different power systems with 3, 6, 15 and 40 generating units and the results are compared with two forms of power systems, one power system is with a wind power generator and other power system is without a wind power generator. The results of this study reveal that the proposed approach is able to find appreciable ELD solutions than those of previous algorithms.

scholarly journals Automatic Threshold Selections by exploration and exploitation of optimization algorithm in Record Deduplication

2016 ◽  
Vol 12 (11) ◽  
pp. 4515-4522
Author(s):  
K. Deepa ◽  
C. Vivek ◽  
S.Palanivel Rajan
Keyword(s):  
Genetic Algorithm ◽  
Swarm Intelligence ◽  
Optimization Algorithm ◽  
Artificial Bee Colony ◽  
Similarity Function ◽  
Human Intervention ◽  
Exploration And Exploitation ◽  
Bee Colony ◽  
Threshold Setting ◽  
Swarm Intelligence Algorithm

A deduplication process uses similarity function to identify the two entries are duplicate or not by setting the threshold.  This threshold setting is an important issue to achieve more accuracy and it relies more on human intervention. Swarm Intelligence algorithm such as PSO and ABC have been used for automatic detection of threshold to find the duplicate records. Though the algorithms performed well there is still an insufficiency regarding the solution search equation, which is used to generate new candidate solutions based on the information of previous solutions.  The proposed work addressed two problems: first to find the optimal equation using Genetic Algorithm(GA) and next it adopts an modified  Artificial Bee Colony (ABC) to get the optimal threshold to detect the duplicate records more accurately and also it reduces human intervention. CORA dataset is considered to analyze the proposed algorithm.

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