Empirical Convergence Theory of Harmony Search Algorithm for Box-Constrained Discrete Optimization of Convex Function
The harmony search (HS) algorithm is an evolutionary computation technique, which was inspired by music improvisation. So far, it has been applied to various scientific and engineering optimization problems including project scheduling, structural design, energy system operation, car lane detection,...
Main Authors: | Jin Hee Yoon, Zong Woo Geem |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/9/5/545 |
Similar Items
-
Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
by: Mohammad Nasir, et al.
Published: (2021-10-01) -
Advanced Parameter-Setting-Free Harmony Search Algorithm
by: Yong-Woon Jeong, et al.
Published: (2020-04-01) -
Comparative Study of Harmony Search Algorithm and its Applications in China, Japan and Korea
by: Mohammad Nasir, et al.
Published: (2020-06-01) -
Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization
by: Edgar Alfredo Portilla-Flores, et al.
Published: (2017-01-01) -
Harmony Search-Based Approach for Multi-Objective Software Architecture Reconstruction
by: Amarjeet Prajapati, et al.
Published: (2020-10-01)