Cover Image

The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation

This paper proposes a new hybrid of nature inspired optimization algorithm (IFDO-WOABAT) based on the latest optimization algorithm namely Improved Fitness Dependent Optimization (IFDO) with Whale-Bat Optimization algorithm (WOABAT). The hybrid is essential to overcome the inaccuracy in searching op...

Full description

Saved in:
Bibliographic Details
Main Authors: Hamizan, Sharbini, Roselina, Sallehuddin, Habibollah, Haron
Format: Proceeding
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/41789/1/The%20Hybrid%20of%20WOABAT-IFDO.pdf
http://ir.unimas.my/id/eprint/41789/
https://link.springer.com/chapter/10.1007/978-981-19-8406-8_49
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir.41789
record_format eprints
spelling my.unimas.ir.417892023-05-10T03:38:20Z http://ir.unimas.my/id/eprint/41789/ The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation Hamizan, Sharbini Roselina, Sallehuddin Habibollah, Haron QA75 Electronic computers. Computer science This paper proposes a new hybrid of nature inspired optimization algorithm (IFDO-WOABAT) based on the latest optimization algorithm namely Improved Fitness Dependent Optimization (IFDO) with Whale-Bat Optimization algorithm (WOABAT). The hybrid is essential to overcome the inaccuracy in searching optimal path when dealing with many agents in conjunction with exploration and exploitation element in WOABAT signify the process of searching behaviour and optimizing the speed value of agent. The performance of the new hybrid optimization algorithm is verified using standard classical test function and further evaluated with other four renowned optimization algorithms and the results showed that it is better in most cases compared with the existing algorithms. Ultimately, the algorithm’s performance also has been tested in crowd simulation evacuation that involves a different number of agents and with/without obstacle scenario. The conducted experiment reveals promising results and signify effectiveness in minimizing the evacuation time. 2023-04-27 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/41789/1/The%20Hybrid%20of%20WOABAT-IFDO.pdf Hamizan, Sharbini and Roselina, Sallehuddin and Habibollah, Haron (2023) The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation. In: ICCST2022, 27 August 2022, Virtual Conference. https://link.springer.com/chapter/10.1007/978-981-19-8406-8_49
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hamizan, Sharbini
Roselina, Sallehuddin
Habibollah, Haron
The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
description This paper proposes a new hybrid of nature inspired optimization algorithm (IFDO-WOABAT) based on the latest optimization algorithm namely Improved Fitness Dependent Optimization (IFDO) with Whale-Bat Optimization algorithm (WOABAT). The hybrid is essential to overcome the inaccuracy in searching optimal path when dealing with many agents in conjunction with exploration and exploitation element in WOABAT signify the process of searching behaviour and optimizing the speed value of agent. The performance of the new hybrid optimization algorithm is verified using standard classical test function and further evaluated with other four renowned optimization algorithms and the results showed that it is better in most cases compared with the existing algorithms. Ultimately, the algorithm’s performance also has been tested in crowd simulation evacuation that involves a different number of agents and with/without obstacle scenario. The conducted experiment reveals promising results and signify effectiveness in minimizing the evacuation time.
format Proceeding
author Hamizan, Sharbini
Roselina, Sallehuddin
Habibollah, Haron
author_facet Hamizan, Sharbini
Roselina, Sallehuddin
Habibollah, Haron
author_sort Hamizan, Sharbini
title The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
title_short The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
title_full The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
title_fullStr The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
title_full_unstemmed The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
title_sort hybrid of woabat-ifdo optimization algorithm and its application in crowd evacuation simulation
publishDate 2023
url http://ir.unimas.my/id/eprint/41789/1/The%20Hybrid%20of%20WOABAT-IFDO.pdf
http://ir.unimas.my/id/eprint/41789/
https://link.springer.com/chapter/10.1007/978-981-19-8406-8_49
_version_ 1767209873785749504
score 13.211869

Similar Items