An improved harmony search algorithm for power economic load dispatch

2009 ◽  
Vol 50 (10) ◽  
pp. 2522-2526 ◽  
Author(s):  
Leandro dos Santos Coelho ◽  
Viviana Cocco Mariani
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Economic Load Dispatch ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm ◽  
Power Economic

scholarly journals Solution of Economic Load Dispatch Problems Using Novel Improved Harmony Search Algorithm

2021 ◽  
Vol 13 (1) ◽  
pp. 218-241
Author(s):  
Boudjella Houari ◽  
◽  
Laouer Mohammed ◽  
Bouzeboudja Hamid ◽  
Ayad Ahmed Nour El Islam ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Economic Load Dispatch ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm

scholarly journals Hybrid Multilevel Thresholding and Improved Harmony Search Algorithm for Segmentation

2018 ◽  
Vol 8 (6) ◽  
pp. 4593 ◽  
Author(s):  
Erwin Erwin ◽  
Saparudin Saparudin ◽  
Wulandari Saputri
Keyword(s):  
High Performance ◽  
Search Algorithm ◽  
Signal To Noise Ratio ◽  
Harmony Search ◽  
Optimal Solution ◽  
Harmony Search Algorithm ◽  
Multilevel Thresholding ◽  
Improved Harmony Search ◽  
High Degree ◽  
Improved Harmony Search Algorithm

This paper proposes a new method for image segmentation is hybrid multilevel thresholding and improved harmony search algorithm. Improved harmony search algorithm which is a method for finding vector solutions by increasing its accuracy. The proposed method looks for a random candidate solution, then its quality is evaluated through the Otsu objective function. Furthermore, the operator continues to evolve the solution candidate circuit until the optimal solution is found. The dataset used in this study is the retina dataset, tongue, lenna, baboon, and cameraman. The experimental results show that this method produces the high performance as seen from peak signal-to-noise ratio analysis (PNSR). The PNSR result for retinal image averaged 40.342 dB while for the average tongue image 35.340 dB. For lenna, baboon and cameramen produce an average of 33.781 dB, 33.499 dB, and 34.869 dB. Furthermore, the process of object recognition and identification is expected to use this method to produce a high degree of accuracy.

scholarly journals An Improved Harmony Search Algorithm with Differential Mutation Operator

2009 ◽  
Vol 95 (4) ◽  
pp. 401-426 ◽  
Author(s):  
Prithwish Chakraborty, ◽  
Gourab Ghosh Roy ◽  
Swagatam Das ◽  
Dhaval Jain ◽  
Ajith Abraham
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Mutation Operator ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm
Sign in / Sign up

Export Citation Format

Share Document