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Mathematical modeling of ecological systems algorithm
Joint Authors
Mirhib, Abd al-Razzaq
Nurah, Hasan
Bateman, Francois
Source
Issue
Vol. 22, Issue 2 (31 Dec. 2021), pp.209-231, 23 p.
Publisher
National Council for Scientific Research
Publication Date
2021-12-31
Country of Publication
Lebanon
No. of Pages
23
Main Subjects
Earth Sciences, Water and Environment
Abstract EN
In this paper, the mathematical modeling of a new bio-inspired evolutionary search algorithm called Ecological Systems Algorithm (ESA) is presented.
ESA imitates ecological rules to find iteratively the optimum of a given function through interaction between predator and prey search species.
ESA is then compared to the well-known Genetic Algorithm which is a powerful bio-inspired stochastic search/optimization algorithm used for decades.
Simulation results of the two algorithms optimizing ten different benchmark functions are used to investigate and compare both algorithms based on their speed, performance, reliability, and efficiency.
American Psychological Association (APA)
Mirhib, Abd al-Razzaq& Nurah, Hasan& Bateman, Francois. 2021. Mathematical modeling of ecological systems algorithm. Lebanese Science Journal،Vol. 22, no. 2, pp.209-231.
https://search.emarefa.net/detail/BIM-1408397
Modern Language Association (MLA)
Mirhib, Abd al-Razzaq…[et al.]. Mathematical modeling of ecological systems algorithm. Lebanese Science Journal Vol. 22, no. 2 (2021), pp.209-231.
https://search.emarefa.net/detail/BIM-1408397
American Medical Association (AMA)
Mirhib, Abd al-Razzaq& Nurah, Hasan& Bateman, Francois. Mathematical modeling of ecological systems algorithm. Lebanese Science Journal. 2021. Vol. 22, no. 2, pp.209-231.
https://search.emarefa.net/detail/BIM-1408397
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 229-231
Record ID
BIM-1408397