An enhanced harmony search (ENHS) algorithm for solving optimization problems

Optimization techniques attracts researchers to formulate a problem and determine its optimum solution. This paper presents an Enhanced Harmony Search (ENHS) algorithm for solving optimization problems. The proposed algorithm increases the convergence and is more efficient than the standard harmony...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of the 2014 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference : 3-5 February 2014 pp. 84 - 88
Main Authors: Taj, Talha A., Khan, Talha A., Ijaz, Imran
Format: Conference Proceeding
Language:English
Published: IEEE 01.02.2014
Subjects:
Algorithm design and analysis
Benchmark testing
Convergence
Harmony Search algrorithm
Linear programming
MATLAB
Optimization
Search problems
ISBN:9781479925933, 1479925934
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Optimization techniques attracts researchers to formulate a problem and determine its optimum solution. This paper presents an Enhanced Harmony Search (ENHS) algorithm for solving optimization problems. The proposed algorithm increases the convergence and is more efficient than the standard harmony search (HS) algorithm. The paper discusses the novel techniques in detail and also provides the strategy for tuning the decisive parameters that effects the efficiency of the ENHS algorithm. The algorithm is tested on various benchmark functions, a real world optimization problem and a constrained objective function. Also, the results of ENHS are compared to standard HS, and various other optimization algorithms. The ENHS algorithms proves to be significantly better and more efficient than other algorithms. The simulation and testing of the algorithms is performed in MATLAB.
ISBN:9781479925933
1479925934
DOI:10.1109/ElConRusNW.2014.6839208