Enhancing benchmark optimization with evolutionary random approach: A comparative analysis of modified adaptive bats sonar algorithm (MABSA)

Recently, evolutionary algorithms have emerged as powerful tools for solving complex optimization problems across various domains. This article presents a novel hybrid algorithm, combining the Modified Adaptive Bats Sonar Algorithm (MABSA) with the Squirrel Search Algorithm (SSA), and compares its p...

Full description

Bibliographic Details

Main Authors:	Nor Shuhada, Ibrahim, Nafrizuan, Mat Yahya, Saiful Bahri, Mohamed, Mohd Ismail, Yusof
Format:	Conference or Workshop Item
Language:	en en
Published:	Springer Science and Business Media Deutschland GmbH 2025
Subjects:	Q Science (General) TS Manufactures
Online Access:	https://umpir.ump.edu.my/id/eprint/42179/1/Enhancing%20Benchmark%20Optimization%20with%20Evolutionary.pdf https://umpir.ump.edu.my/id/eprint/42179/7/Enhancing%20benchmark%20optimization%20with%20evolutionary%20random%20approach.pdf https://umpir.ump.edu.my/id/eprint/42179/ https://doi.org/10.1007/978-981-96-5690-5_10
Tags:	Add Tag No Tags, Be the first to tag this record!