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

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

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Abstract

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.

Item Type: Book Chapter
Additional Information: Indexed by Springer
Uncontrolled Keywords: Extended Bat Algorithm; Spiral Searching Method; Engineering Optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 24 Dec 2018 04:34
Last Modified: 21 May 2019 07:22
URI: http://umpir.ump.edu.my/id/eprint/22910
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