Music genre classification based on local feature selection using a self-adaptive harmony search algorithm

2014 ◽  
Vol 92 ◽  
pp. 60-76 ◽  
Author(s):  
Yin-Fu Huang ◽  
Sheng-Min Lin ◽  
Huan-Yu Wu ◽  
Yu-Siou Li
Keyword(s):  
Feature Selection ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Local Feature ◽  
Genre Classification ◽  
Music Genre ◽  
Music Genre Classification ◽  
Self Adaptive

Semi-self-adaptive harmony search algorithm

2017 ◽  
Vol 16 (4) ◽  
pp. 619-636 ◽  
Author(s):  
Xinchao Zhao ◽  
Zhaohua Liu ◽  
Junling Hao ◽  
Rui Li ◽  
Xingquan Zuo
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Self Adaptive

scholarly journals Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column

2020 ◽  
Vol 10 (13) ◽  
pp. 4628 ◽  
Author(s):  
Fares M’zoughi ◽  
Izaskun Garrido ◽  
Aitor J. Garrido ◽  
Manuel De La Sen
Keyword(s):  
Water Column ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
The Self ◽  
Oscillating Water Column ◽  
Wells Turbine ◽  
Control Scheme ◽  
Tuning Methods ◽  
Self Adaptive

The Harmony Search algorithm has attracted a lot of interest in the past years because of its simplicity and efficiency. This led many scientists to develop various variants for many applications. In this paper, four variants of the Harmony search algorithm were implemented and tested to optimize the control design of the Proportional-Integral-derivative (PID) controller in a proposed airflow control scheme. The airflow control strategy has been proposed to deal with the undesired stalling phenomenon of the Wells turbine in an Oscillating Water Column (OWC). To showcase the effectiveness of the Self-Adaptive Global Harmony Search (SGHS) algorithm over traditional tuning methods, a comparative study has been carried out between the optimized PID, the traditionally tuned PID and the uncontrolled OWC system. The results of optimization showed that the Self-Adaptive Global Harmony Search (SGHS) algorithm adapted the best to the problem of the airflow control within the wave energy converter. Moreover, the OWC performance is superior when using the SGHS-tuned PID.

Fuzzy cerebellar model articulation controller network optimization via self-adaptive global best harmony search algorithm

2017 ◽  
Vol 22 (10) ◽  
pp. 3141-3153 ◽  
Author(s):  
Fei Chao ◽  
Dajun Zhou ◽  
Chih-Min Lin ◽  
Changle Zhou ◽  
Minghui Shi ◽  
...  
Keyword(s):  
Network Optimization ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Cerebellar Model Articulation Controller ◽  
Self Adaptive
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