Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019108" target="_blank" >RIV/62690094:18470/22:50019108 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/22/3/855" target="_blank" >https://www.mdpi.com/1424-8220/22/3/855</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s22030855" target="_blank" >10.3390/s22030855</a>

Result language

angličtina

Original language name

Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

Original language description

Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced. The main idea in designing the proposed POA is simulation of the natural behavior of pelicans during hunting. In POA, search agents are pelicans that search for food sources. The mathematical model of the POA is presented for use in solving optimization issues. The performance of POA is evaluated on twenty-three objective functions of different unimodal and multimodal types. The optimization results of unimodal functions show the high exploitation ability of POA to approach the optimal solution while the optimization results of multimodal functions indicate the high ability of POA exploration to find the main optimal area of the search space. Moreover, four engineering design issues are employed for estimating the efficacy of the POA in optimizing real-world applications. The findings of POA are compared with eight well-known metaheuristic algorithms to assess its competence in optimization. The simulation results and their analysis show that POA has a better and more competitive performance via striking a proportional balance between exploration and exploitation compared to eight competitor algorithms in providing optimal solutions for optimization problems.

Czech name

—

Czech description

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Type

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

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

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

Name of the periodical

Sensors

ISSN

1424-8220

e-ISSN

1424-8220

Volume of the periodical

22

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

34

Pages from-to

"Article Number: 855"

UT code for WoS article

000757269000001

EID of the result in the Scopus database

2-s2.0-85123054715