Cover Image

HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION

Inswarm robotics, a group ofrobots coordinatewitheachother tosolvea problem. Swarm systems can be heterogeneous or homogeneous. Heterogeneous swarms consist of multiple types of robots as opposed to Homogeneous swarms, whichare made up of identical robots. There are cases where a Heterogeneous swarm...

Full description

Saved in:
Bibliographic Details
Main Authors: Kappagantula, S., Vojjala, S., Iyer, A.A., Velidi, G., Emani, S., Vandrangi, S.K.
Format: Article
Published: Regional Association for Security and crisis management 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37571/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172375520&doi=10.31181%2foresta%2f060204&partnerID=40&md5=9134d4f30814b2fa2ab6819b4c4ad65a
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scholars.utp.edu.my:37571
record_format eprints
spelling oai:scholars.utp.edu.my:375712023-10-13T12:53:14Z http://scholars.utp.edu.my/id/eprint/37571/ HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION Kappagantula, S. Vojjala, S. Iyer, A.A. Velidi, G. Emani, S. Vandrangi, S.K. Inswarm robotics, a group ofrobots coordinatewitheachother tosolvea problem. Swarm systems can be heterogeneous or homogeneous. Heterogeneous swarms consist of multiple types of robots as opposed to Homogeneous swarms, whichare made up of identical robots. There are cases where a Heterogeneous swarm system may consist of multiple Homogeneous swarm systems. Swarm robots can be used for a variety of applications. Swarm robots are majorly used in applications involving the exploration of unknown environments. Swarm systems are dynamic and intelligent. Swarm Intelligence is inspired by naturally occurring swarm systems suchas Ant Colony, Bees Hive, or Bats. The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. In this paper, we study the advantages of fusing the Meta-Heuristic Bat Algorithm with Heuristic Optimization. We have implemented the Meta- Heuristic Bat Algorithm and tested it on a heterogeneous swarm. The same swarm has also been tested by segregating it into different homogeneous swarms by subjecting the heterogeneous swarm to a heuristic optimization. © 2023 Regional Association for Security and crisis management. Regional Association for Security and crisis management 2023 Article NonPeerReviewed Kappagantula, S. and Vojjala, S. and Iyer, A.A. and Velidi, G. and Emani, S. and Vandrangi, S.K. (2023) HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION. Operational Research in Engineering Sciences: Theory and Applications, 6 (2). pp. 52-77. ISSN 26201607 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172375520&doi=10.31181%2foresta%2f060204&partnerID=40&md5=9134d4f30814b2fa2ab6819b4c4ad65a 10.31181/oresta/060204 10.31181/oresta/060204 10.31181/oresta/060204
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Inswarm robotics, a group ofrobots coordinatewitheachother tosolvea problem. Swarm systems can be heterogeneous or homogeneous. Heterogeneous swarms consist of multiple types of robots as opposed to Homogeneous swarms, whichare made up of identical robots. There are cases where a Heterogeneous swarm system may consist of multiple Homogeneous swarm systems. Swarm robots can be used for a variety of applications. Swarm robots are majorly used in applications involving the exploration of unknown environments. Swarm systems are dynamic and intelligent. Swarm Intelligence is inspired by naturally occurring swarm systems suchas Ant Colony, Bees Hive, or Bats. The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. In this paper, we study the advantages of fusing the Meta-Heuristic Bat Algorithm with Heuristic Optimization. We have implemented the Meta- Heuristic Bat Algorithm and tested it on a heterogeneous swarm. The same swarm has also been tested by segregating it into different homogeneous swarms by subjecting the heterogeneous swarm to a heuristic optimization. © 2023 Regional Association for Security and crisis management.
format Article
author Kappagantula, S.
Vojjala, S.
Iyer, A.A.
Velidi, G.
Emani, S.
Vandrangi, S.K.
spellingShingle Kappagantula, S.
Vojjala, S.
Iyer, A.A.
Velidi, G.
Emani, S.
Vandrangi, S.K.
HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
author_facet Kappagantula, S.
Vojjala, S.
Iyer, A.A.
Velidi, G.
Emani, S.
Vandrangi, S.K.
author_sort Kappagantula, S.
title HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
title_short HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
title_full HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
title_fullStr HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
title_full_unstemmed HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
title_sort heuristic optimization of bat algorithm for heterogeneous swarms using perception
publisher Regional Association for Security and crisis management
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37571/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172375520&doi=10.31181%2foresta%2f060204&partnerID=40&md5=9134d4f30814b2fa2ab6819b4c4ad65a
_version_ 1781707926282436608
score 13.211869

Similar Items