Mathematical modeling of ecological systems algorithm

Joint Authors

Mirhib, Abd al-Razzaq
Nurah, Hasan
Bateman, Francois

Source

Lebanese Science Journal

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 Science , 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