Otsu and Kapur Segmentation Based on Harmony Search Optimization

2015 ◽  
pp. 169-202 ◽  
Author(s):  
Erik Cuevas ◽  
Daniel Zaldívar ◽  
Marco Perez-Cisneros
Keyword(s):  
Harmony Search ◽  
Search Optimization

2-D Image Matching Based on Global Harmony Search Optimization

2012 ◽  
Vol 239-240 ◽  
pp. 1133-1137 ◽  
Author(s):  
Li Ming Guan ◽  
Qian Kai Yang ◽  
Jian Lin ◽  
Yi Fan Wu
Keyword(s):  
Hausdorff Distance ◽  
Image Matching ◽  
Fitness Function ◽  
Harmony Search ◽  
Two Dimensional ◽  
Edge Detector ◽  
Matching Method ◽  
Two Dimensional Image ◽  
Search Optimization ◽  
Canny Edge

A two-dimensional image matching method based on the improved Hausdorff distance and global harmony search optimization is presented in this paper. First, edges are extracted form the original images by the Canny edge detector. Then, a fitness function based on the improved Hausdorff distance is constructed. Finally the global harmony search optimization is adopted to optimize the fitness function. Experiments show that the proposed method is able to locate the object of interest globally and efficiently.

Harmony Search Optimization: Application to Pipe Network Design

2002 ◽  
Vol 22 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Z.W. Geem ◽  
J.H. Kim ◽  
G.V. Loganathan
Keyword(s):  
Network Design ◽  
Harmony Search ◽  
Pipe Network ◽  
Search Optimization

scholarly journals Circle Detection by Harmony Search Optimization

2011 ◽  
Vol 66 (3) ◽  
pp. 359-376 ◽  
Author(s):  
Erik Cuevas ◽  
Noé Ortega-Sánchez ◽  
Daniel Zaldivar ◽  
Marco Pérez-Cisneros
Keyword(s):  
Harmony Search ◽  
Circle Detection ◽  
Search Optimization

Multi-objective FACTS placement using improved harmony search optimization

2020 ◽  
Vol 39 (3) ◽  
pp. 3839-3851
Author(s):  
Arun Nambi Pandian ◽  
Aravindhababu Palanivelu
Keyword(s):  
Power Systems ◽  
Harmony Search ◽  
Optimal Number ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Placement Problem ◽  
Facts Devices ◽  
Search Optimization ◽  
Solution Methods ◽  
Improved Harmony Search

Optimal placement of FACTS devices attempts to improve power transfer, minimize active power loss, enhance voltage profile and improve voltage stability, thereby making the operation of power systems more flexible and secured. The classical methods experience difficulties in solving the FACTS placement problem (FPP) with discontinuous functions and may diverge or result oscillatory convergence. Besides the number of FACTS devices for placement should be given as an input while solving the problem. The solution methods then attempts to forcefully place all the specified number of devices in the power system, but in reality, the system may require an optimal number of FACTS for placement. The application of swarm-intelligence based optimization algorithms strives to overcome the drawbacks of classical methods. This paper presents a new solution method for FACTS placement problem using improved harmony search optimization (IHSO) with a newly suggested dissonance mechanism that avoids badly composed music, with a view of avoiding the sub-optimal solutions. Besides, the method requires to specify only the maximum number of FACTS devices for placement and places only the optimal number of devices within the specified maximum number of devices. The paper also includes simulation results of three IEEE test systems for exhibiting the superiority of the proposed method.

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