Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions

Ahmed, Mashuk and Nasser, Abdullah B. and Kamal Z., Zamli and Heripracoyo, Sulistyo (2022) Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions. In: Lecture Notes in Networks and Systems; International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2021 , 25 - 26 June 2021 , Al Buraimi. 114 -125., 299. ISSN 2367-3370 ISBN 978-303082615-4

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Abstract

Nowadays, selecting the best possible solution among several solutions becomes an important skill for engineering and research. Therefore, engineers are turning to optimization methods as a complementary alternative strategy of exhaustive searching. Metaheuristic algorithms have been used successfully for solving different optimization problems. To help engineers select the best metaheuristic algorithms for their problems, there is a need to evaluate the performance of different metaheuristic algorithms against each other using common case studies. This paper aims to compare the performance of two metaheuristic algorithms which are Jaya Algorithm (JA) and Cuckoo Search (CS) using some common benchmark functions. CS and JA have implemented in the same platform (Intellij IDEA Community Edition 2020.2.3) using the same language (Java). The experimental results show that JA has better and consistent performance as compared to CS in most cases in terms of execution time and test suite size; however, the performance of JA is still within acceptable ranges.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Jaya Algorithm; Cuckoo Search Algorithm; Metaheuristic algorithm; Optimization; Execution time
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	29 Jul 2022 01:03
Last Modified:	29 Jul 2022 01:23
URI:	http://umpir.ump.edu.my/id/eprint/34792
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