Evaluation of Marine predator algorithm by using engineering optimisation problems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F23%3AA2402M75" target="_blank" >RIV/61988987:17310/23:A2402M75 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2227-7390/11/23/4716" target="_blank" >https://www.mdpi.com/2227-7390/11/23/4716</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/math11234716" target="_blank" >10.3390/math11234716</a>

Result language

angličtina

Original language name

Evaluation of Marine predator algorithm by using engineering optimisation problems

Original language description

Real application of popular swarm-intelligence optimisation method is proposed. Four crucial numerical parameters of the Marine predators algorithm (MPA) are analysed to propose a proper setting to solve engineering problems. Besides population size, particle velocity parameter P, Lévy flight parameter β, and Fish aggregating devices (FADs) probability are studied. Finally, 193 various combinations of fixed and dynamic settings of the MPA parameters are experimentally compared when solving 13 engineering problems. The results are statistically analysed to highlight significant differences. Two out of four studied parameters significantly influence MPA performance. Three newly proposed MPA settings outperform the original variant significantly. Several recommendations for MPA setting on real applications were made. The original algorithms and their enhanced variants are compared on several examples of piecewise linearization problems. The results show that the enhanced approach performs sufficiently better when it creates a very promising approximation of functions. On the second thought, the degree of precision is slightly decreased by the focus on the speed of the optimization process.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10102 - Applied mathematics

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Mathematics

ISSN

2227-7390

e-ISSN

—

Volume of the periodical

—

Issue of the periodical within the volume

23

Country of publishing house

CH - SWITZERLAND

Number of pages

19

Pages from-to

—

UT code for WoS article

001116971600001

EID of the result in the Scopus database

2-s2.0-85179300432