Elephant Herding Optimization: Variants, Hybrids, and Applications

Juan Li, Hong Lei, Amir H. Alavi and Gai-Ge Wang
Additional contact information
Juan Li: School of Artificial Intelligence, Wuhan Technology and Business University, Wuhan 430065, China
Hong Lei: School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China
Amir H. Alavi: Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
Gai-Ge Wang: Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China

Mathematics, 2020, vol. 8, issue 9, 1-25

Abstract: Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization algorithm based on the herding behavior of elephants. EHO uses a clan operator to update the distance of the elephants in each clan with respect to the position of a matriarch elephant. The superiority of the EHO method to several state-of-the-art metaheuristic algorithms has been demonstrated for many benchmark problems and in various application areas. A comprehensive review for the EHO-based algorithms and their applications are presented in this paper. Various aspects of the EHO variants for continuous optimization, combinatorial optimization, constrained optimization, and multi-objective optimization are reviewed. Future directions for research in the area of EHO are further discussed.

Keywords: elephant herding optimization; engineering optimization; metaheuristic; constrained optimization; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2227-7390/8/9/1415/pdf (application/pdf)
https://www.mdpi.com/2227-7390/8/9/1415/ (text/html)

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:gam:jmathe:v:8:y:2020:i:9:p:1415-:d:403101

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().