Cellular Harmony Search for Optimization Problems
Joint Authors
al-Betar, Mohammed Azmi
Khader, Ahamad Tajudin
Zaqaibeh, Belal
Awadallah, Mohammed A.
Alawan, Mahmmoud Hafsaldin
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-28
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Structured population in evolutionary algorithms (EAs) is an important research track where an individual only interacts with its neighboring individuals in the breeding step.
The main rationale behind this is to provide a high level of diversity to overcome the genetic drift.
Cellular automata concepts have been embedded to the process of EA in order to provide a decentralized method in order to preserve the population structure.
Harmony search (HS) is a recent EA that considers the whole individuals in the breeding step.
In this paper, the cellular automata concepts are embedded into the HS algorithm to come up with a new version called cellular harmony search (cHS).
In cHS, the population is arranged as a two-dimensional toroidal grid, where each individual in the grid is a cell and only interacts with its neighbors.
The memory consideration and population update are modified according to cellular EA theory.
The experimental results using benchmark functions show that embedding the cellular automata concepts with HS processes directly affects the performance.
Finally, a parameter sensitivity analysis of the cHS variation is analyzed and a comparative evaluation shows the success of cHS.
American Psychological Association (APA)
al-Betar, Mohammed Azmi& Khader, Ahamad Tajudin& Awadallah, Mohammed A.& Alawan, Mahmmoud Hafsaldin& Zaqaibeh, Belal. 2013. Cellular Harmony Search for Optimization Problems. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-20.
https://search.emarefa.net/detail/BIM-448864
Modern Language Association (MLA)
al-Betar, Mohammed Azmi…[et al.]. Cellular Harmony Search for Optimization Problems. Journal of Applied Mathematics No. 2013 (2013), pp.1-20.
https://search.emarefa.net/detail/BIM-448864
American Medical Association (AMA)
al-Betar, Mohammed Azmi& Khader, Ahamad Tajudin& Awadallah, Mohammed A.& Alawan, Mahmmoud Hafsaldin& Zaqaibeh, Belal. Cellular Harmony Search for Optimization Problems. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-20.
https://search.emarefa.net/detail/BIM-448864
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448864