Extended Bat Algorithm (EBA) as an improved searching optimization algorithm

This paper presents a new searching technique by using a new variant of Bat Algorithm (BA) known as Extended Bat Algorithm (EBA). EBA intro-duces the spiral searching method instead of randomly searching used in origi-nal BA. Spiral searching method taken from Spiral Dynamic Algorithm (SDA) is perfo...

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Main Authors: Pebrianti, Dwi, Nurnajmin Qasrina, Ann, Luhur, Bayuaji, Nor Rul Hasma, Abdullah, Zainah, Md. Zain, Indra, Riyanto
Format: Book Section
Language:English
English
English
Published: Springer Singapore 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22910/
http://umpir.ump.edu.my/id/eprint/22910/
http://umpir.ump.edu.my/id/eprint/22910/
http://umpir.ump.edu.my/id/eprint/22910/2/54.1%20Extended%20Bat%20Algorithm%20as%20an%20Improved%20Searching.pdf
http://umpir.ump.edu.my/id/eprint/22910/13/40.%20Extended%20Bat%20Algorithm%20%28EBA%29%20as%20an%20improved%20searching%20optimization%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/22910/14/40.1%20Extended%20Bat%20Algorithm%20%28EBA%29%20as%20an%20improved%20searching%20optimization%20algorithm.pdf
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spelling ump-229102019-05-21T07:22:03Z http://umpir.ump.edu.my/id/eprint/22910/ Extended Bat Algorithm (EBA) as an improved searching optimization algorithm Pebrianti, Dwi Nurnajmin Qasrina, Ann Luhur, Bayuaji Nor Rul Hasma, Abdullah Zainah, Md. Zain Indra, Riyanto TK Electrical engineering. Electronics Nuclear engineering This paper presents a new searching technique by using a new variant of Bat Algorithm (BA) known as Extended Bat Algorithm (EBA). EBA intro-duces the spiral searching method instead of randomly searching used in origi-nal BA. Spiral searching method taken from Spiral Dynamic Algorithm (SDA) is performed to improve the accuracy and efficiency of the original algorithm such as stabilizing the convergence when reaching ideal value. EBA conserves the robustness of BA and SDA and increases the performance of the proposed algorithm. The proposed algorithm is tested by using numerical experiments with three different objective functions. The results show that EBA outperforms original Bat Algorithm (BA) and Particle Swarm Optimization (PSO) in almost test functions and successfully optimizes the numerical problems. Springer Singapore 2018 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22910/2/54.1%20Extended%20Bat%20Algorithm%20as%20an%20Improved%20Searching.pdf pdf en http://umpir.ump.edu.my/id/eprint/22910/13/40.%20Extended%20Bat%20Algorithm%20%28EBA%29%20as%20an%20improved%20searching%20optimization%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/22910/14/40.1%20Extended%20Bat%20Algorithm%20%28EBA%29%20as%20an%20improved%20searching%20optimization%20algorithm.pdf Pebrianti, Dwi and Nurnajmin Qasrina, Ann and Luhur, Bayuaji and Nor Rul Hasma, Abdullah and Zainah, Md. Zain and Indra, Riyanto (2018) Extended Bat Algorithm (EBA) as an improved searching optimization algorithm. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 229-237. ISBN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_20 DOI: https://doi.org/10.1007/978-981-13-3708-6_20
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Pebrianti, Dwi
Nurnajmin Qasrina, Ann
Luhur, Bayuaji
Nor Rul Hasma, Abdullah
Zainah, Md. Zain
Indra, Riyanto
Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
description This paper presents a new searching technique by using a new variant of Bat Algorithm (BA) known as Extended Bat Algorithm (EBA). EBA intro-duces the spiral searching method instead of randomly searching used in origi-nal BA. Spiral searching method taken from Spiral Dynamic Algorithm (SDA) is performed to improve the accuracy and efficiency of the original algorithm such as stabilizing the convergence when reaching ideal value. EBA conserves the robustness of BA and SDA and increases the performance of the proposed algorithm. The proposed algorithm is tested by using numerical experiments with three different objective functions. The results show that EBA outperforms original Bat Algorithm (BA) and Particle Swarm Optimization (PSO) in almost test functions and successfully optimizes the numerical problems.
format Book Section
author Pebrianti, Dwi
Nurnajmin Qasrina, Ann
Luhur, Bayuaji
Nor Rul Hasma, Abdullah
Zainah, Md. Zain
Indra, Riyanto
author_facet Pebrianti, Dwi
Nurnajmin Qasrina, Ann
Luhur, Bayuaji
Nor Rul Hasma, Abdullah
Zainah, Md. Zain
Indra, Riyanto
author_sort Pebrianti, Dwi
title Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
title_short Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
title_full Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
title_fullStr Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
title_full_unstemmed Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
title_sort extended bat algorithm (eba) as an improved searching optimization algorithm
publisher Springer Singapore
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22910/
http://umpir.ump.edu.my/id/eprint/22910/
http://umpir.ump.edu.my/id/eprint/22910/
http://umpir.ump.edu.my/id/eprint/22910/2/54.1%20Extended%20Bat%20Algorithm%20as%20an%20Improved%20Searching.pdf
http://umpir.ump.edu.my/id/eprint/22910/13/40.%20Extended%20Bat%20Algorithm%20%28EBA%29%20as%20an%20improved%20searching%20optimization%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/22910/14/40.1%20Extended%20Bat%20Algorithm%20%28EBA%29%20as%20an%20improved%20searching%20optimization%20algorithm.pdf
first_indexed 2023-09-18T22:34:05Z
last_indexed 2023-09-18T22:34:05Z
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