Numerical Optimization Using the Heart Algorithm
Abdolreza Hatamlou
Additional contact information
Abdolreza Hatamlou: Department of Computer Science, Khoy Branch, Islamic Azad University, Khoy, Iran
International Journal of Applied Evolutionary Computation (IJAEC), 2018, vol. 9, issue 2, 33-37
Abstract:
In this article the authors investigate the application of the heart algorithm for solving unconstraint numerical optimization problems. Heart algorithms are a novel optimization algorithm which mimics the heart function and circulatory system procedure in the human beings. It starts with a number of candidate solutions for the given problem and utilizes the contraction and expansion actions to move the candidates in the search space for finding optimal solution. The applicability and performance of the heart algorithm for solving unconstrained optimization problems has been tested using several benchmark functions. Experimental results show its potential and superiority.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAEC.2018040103 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:9:y:2018:i:2:p:33-37
Access Statistics for this article
International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill
More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().