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386694

iHow Optimization Algorithm: A Human-Inspired Metaheuristic Approach for Complex Problem Solving and Feature Selection

Article

Last updated: 29 Dec 2024

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Subjects

-

Tags

Engineering
Engineering solutions
Optimization Algorithms
Process systems optimization, real-time and dynamic system

Abstract

In this paper, we propose the iHow Optimization Algorithm (iHowOA), a novel metaheuristic algorithm inspired by human-like cognitive processes such as learning, knowledge acquisition, and experience-based decision-making. The iHowOA aims to enhance the exploration-exploitation balance inherent to solving complex optimization problems by mimicking how humans gather data, learn, and improve over time. We tested the algorithm on standard benchmark functions, including those from the CEC 2005 suite, to evaluate its performance in terms of convergence, computational efficiency, and solution accuracy. Furthermore, the Binary iHowOA (biHowOA) was employed for feature selection tasks, and its performance was compared with other popular optimization algorithms. The results show that iHowOA achieves superior performance, consistently finding optimal solutions while maintaining computational efficiency. The biHowOA also demonstrated strong capability in feature selection, providing reduced feature sets with minimal classification error. Our experiments confirm that iHowOA offers an effective solution for both continuous optimization and feature selection
challenges. 

DOI

10.21608/jaiep.2024.386694

Authors

First Name

El-Sayed

Last Name

El-Kenawy

MiddleName

M.

Affiliation

1School of ICT, Faculty of Engineering, Design and Information & Communications Technology (EDICT), Bahrain Polytechnic, PO Box 33349, Isa Town, Bahrain. 2Jadara University Research Center, Jadara University, Jordan. 3Applied Science Research Center. Applied Science Private University, Amman, Jordan. 4Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura 35111, Egypt.

Email

skenawy@ieee.org

City

-

Orcid

-

First Name

Faris H.

Last Name

Rizk

MiddleName

-

Affiliation

Computer Science and Intelligent Systems Research Center

Email

faris.rizk@jcsis.org

City

Blacksburg, Virginia

Orcid

-

First Name

Ahmed Mohamed

Last Name

Zaki

MiddleName

-

Affiliation

Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA.

Email

azaki@jcsis.org

City

Blacksburg, Virginia

Orcid

0009-0004-7904-634X

First Name

Mahmoud

Last Name

Elshabrawy

MiddleName

-

Affiliation

nComputer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USAon

Email

mshabrawy@jcsis.org

City

mansuora

Orcid

-

First Name

Abdelhameed

Last Name

Ibrahim

MiddleName

-

Affiliation

Faculty of Engineering, Design and Information & Communications Technology (EDICT), School of ICT, Bahrain Polytechnic, PO Box 33349, Isa Town, Bahrain

Email

abdelhameed.fawzy@polytechnic.bh

City

Isa Town

Orcid

0000-0002-8352-6731

First Name

Abdelaziz A.

Last Name

Abdelhamid

MiddleName

-

Affiliation

Department of Computer Science, Faculty of Computer and Information Sciences, Ain Shams University

Email

abdelaziz@cis.asu.edu.eg

City

Cairo

Orcid

-

First Name

Nima

Last Name

Khodadadi

MiddleName

-

Affiliation

Department of Civil and Architectural Engineering, University of Miami

Email

nima.khodadadi@miami.edu

City

Coral Gables

Orcid

-

First Name

Ehab

Last Name

ALmetwally

MiddleName

M.

Affiliation

Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia Faculty of Business Administration, Delta University for Science and Technology, Gamasa 11152, Egypt

Email

emalmetwally@imamu.edu.sa

City

Riyadh

Orcid

0000-0002-3888-1275

First Name

Marwa M.

Last Name

Eid

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology

Email

mmm@ieee.org

City

Mansoura

Orcid

-

Volume

1

Article Issue

2

Related Issue

50979

Issue Date

2024-11-01

Receive Date

2024-03-20

Publish Date

2024-11-17

Page Start

36

Page End

53

Print ISSN

3009-7452

Online ISSN

3009-7002

Article File

JAIEP_Volume 1_Issue 2_Pages 36-53.pdf

PDF . 1.1MB

Link

https://jaiep.journals.ekb.eg/article_386694.html

Detail API

https://jaiep.journals.ekb.eg/service?article_code=386694

Order

386,694

Type

Original Article

Type Code

3,148

Publication Type

Journal

Publication Title

Journal of Artificial Intelligence in Engineering Practice

Publication Link

https://jaiep.journals.ekb.eg/

MainTitle

iHow Optimization Algorithm: A Human-Inspired Metaheuristic Approach for Complex Problem Solving and Feature Selection

Details

Type

Article

Created At

21 Dec 2024