Atsa: a novel augmented low-discrepancy sequence initialized tunicate swarm-based exponential local escaping operator for engineering design applications

Abstract The Tunicate Swarm Algorithm (TSA), a recent swarm-intelligence optimization approach, has gained significant prominence in various fields. However, its performance on complex multi-modal optimization problems remains suboptimal due to limitations such as low search accuracy, inadequate sea...

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Bibliographic Details

Main Authors:	Vanisree Chandran, Prabhujit Mohapatra
Format:	Artigo
Language:	Inglês
Published:	SpringerOpen 2026-03-01
Series:	Journal of Big Data
Subjects:	Meta-heuristic algorithms Tunicate swarm algorithm Low-discrepancy sequence initialization Exponential local escaping operator Engineering design problems
Online Access:	https://doi.org/10.1186/s40537-025-01218-2
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